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santoku - A Versatile Cutting Tool

A tool for cutting data into intervals. Allows singleton intervals. Always includes the whole range of data by default. Flexible labelling. Convenience functions for cutting by quantiles etc. Handles dates, times, units and other vectors.

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archivedpackagesr-universecpp

5.63 score 5 stars 2 dependents 123 scripts 1.2k downloads

choroplethr - Create Color-Coded Choropleth Maps in R

Easily create color-coded (choropleth) maps in R. No knowledge of cartography or shapefiles needed; go directly from your geographically identified data to a highly customizable map with a single line of code! Supported geographies: U.S. states, counties, census tracts, and zip codes, world countries and sub-country regions (e.g., provinces, prefectures, etc.).

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archivedpackagesr-universe

4.47 score 5 stars 920 scripts 1.3k downloads

REDCapSync - Encapsulated 'REDCap' Projects for Synchronized Data Pipelines

Wraps dozens of 'REDCap' API endpoints into a standardized R6 object. Research Electronic Data Capture ('REDCap') is a survey and database web application software maintained by Vanderbilt University. It has a robust application programming interface (API) utilized by several R packages. 'REDCapSync' uses 'redcapAPI' and 'REDCapR' behind-the-scenes to retrieve all metadata, data, and log details for a project. To minimize unnecessary server calls, the interim 'REDCap' log is analyzed and used to only update necessary records. Furthermore, the user can define custom datasets that save to a directory. Those datasets continue to refresh when projects are synced. Having a secure, standardized, API-efficient, project-agnostic R object for 'REDCap' projects, streamlines downstream use in scripts, functions, and shiny applications.

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archivedpackagesr-universe

4.24 score 5 stars 209 downloads

rmytarget - Load Data from 'MyTarget API v2 and v3'

Allows work with 'MyTarget Statistics API v2' <https://target.my.com/adv/api-marketing/doc/stat-v2> and 'MyTarget Statistics API v3' <https://target.my.com/adv/api-marketing/doc/stat-v2#statisticsv3> load data by ads, campaigns, agency clients and statistic from your ads account.

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archivedpackagesr-universe

4.18 score 5 stars 1 dependents 184 downloads

mapboxer - An R Interface to 'Mapbox GL JS'

Makes 'Mapbox GL JS' <https://docs.mapbox.com/mapbox-gl-js/api/>, an open source JavaScript library that uses WebGL to render interactive maps, available within R via the 'htmlwidgets' package. Visualizations can be used from the R console, in R Markdown documents and in Shiny apps.

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archivedpackagesr-universe

3.88 score 5 stars 1 dependents 224 downloads

NicheBarcoding - Niche-model-Based Species Identification

Species Identification using DNA Barcodes Integrated with Environmental Niche Models.

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archivedpackagesr-universeopenjdk

3.88 score 5 stars 162 downloads

ErrorTracer - Bayesian Error Propagation and Forecast Uncertainty Decomposition

Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, structured forecast uncertainty decomposition (parameter / environmental / residual, plus a temporal component when the model carries an autocorrelation term), and forecast shelf life analysis (the quantification of when a forecast becomes uninformative). Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random forests, and Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4> for leave-one-out cross-validation.

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archivedpackagesr-universe

3.70 score 5 stars 4 scripts 376 downloads

whSample - Utilities for Sampling

Interactive tools for generating random samples. Users select an .xlsx, .csv, or delimited .txt file with population data and are walked through selecting the sample type (Simple Random Sample or Stratified), the number of backups desired, and a "stratify_on" value (if desired). The sample size is determined using a normal approximation to the hypergeometric distribution based on Nicholson (1956) <doi:10.1214/aoms/1177728270>. An .xlsx file is created with the sample and key metadata for reference. It is menu-driven and lets users pick an output directory. See vignettes for a detailed walk-through.

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archivedpackagesr-universe

3.70 score 5 stars 154 downloads

PRIMME - Eigenvalues and Singular Values and Vectors from Large Matrices

R interface to 'PRIMME' <https://www.cs.wm.edu/~andreas/software/>, a C library for computing a few eigenvalues and their corresponding eigenvectors of a real symmetric or complex Hermitian matrix, or generalized Hermitian eigenproblem. It can also compute singular values and vectors of a square or rectangular matrix. 'PRIMME' finds largest, smallest, or interior singular/eigenvalues and can use preconditioning to accelerate convergence. General description of the methods are provided in the papers Stathopoulos (2010, <doi:10.1145/1731022.1731031>) and Wu (2017, <doi:10.1137/16M1082214>). See 'citation("PRIMME")' for details.

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archivedpackagesr-universeopenblascpp

3.43 score 5 stars 3 dependents 12 scripts 540 downloads

shiny.fluent - Microsoft Fluent UI for Shiny Apps

A rich set of UI components for building Shiny applications, including inputs, containers, overlays, menus, and various utilities. All components from Fluent UI (the underlying JavaScript library) are available and have usage examples in R.

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archivedpackagesr-universe

3.40 score 5 stars 1.0k downloads

tremendousr - Easily Send Rewards and Incentives with 'Tremendous' from R

A slightly-opinionated R interface for the 'Tremendous' API (<https://www.tremendous.com/>). In addition to supporting GET and POST requests, 'tremendousr' has, dare I say, tremendously intuitive functions for sending digital rewards and incentives directly from R.

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archivedpackagesr-universe

3.40 score 5 stars 159 downloads

confidenceSim - Highly Customizable, Parallelized Simulations of Frequentist Confidence Clinical Trials

Simulate one or many frequentist confidence clinical trials based on a specified set of parameters. From a two-arm, single-stage trial to a perpetually run Adaptive Platform Trial, this package offers vast flexibility to customize your trial and observe operational characterisitics over thousands of instances.

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archivedpackagesr-universe

3.40 score 5 stars 124 downloads

bmscstan - Bayesian Multilevel Single Case Models using 'Stan'

Analyse single case analyses against a control group. Its purpose is to provide a flexible, with good power and low first type error approach that can manage at the same time controls' and patient's data. The use of Bayesian statistics allows to test both the alternative and null hypothesis. Scandola, M., & Romano, D. (2020, August 3). <doi:10.31234/osf.io/sajdq> Scandola, M., & Romano, D. (2021). <doi:10.1016/j.neuropsychologia.2021.107834>.

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archivedpackagesr-universe

3.40 score 5 stars 250 downloads

NFCP - N-Factor Commodity Pricing Through Term Structure Estimation

Commodity pricing models are (systems of) stochastic differential equations that are utilized for the valuation and hedging of commodity contingent claims (i.e. derivative products on the commodity) and other commodity related investments. Commodity pricing models that capture market dynamics are of great importance to commodity market participants in order to exercise sound investment and risk-management strategies. Parameters of commodity pricing models are estimated through maximum likelihood estimation, using available term structure futures data of a commodity. 'NFCP' (n-factor commodity pricing) provides a framework for the modeling, parameter estimation, probabilistic forecasting, option valuation and simulation of commodity prices through state space and Monte Carlo methods, risk-neutral valuation and Kalman filtering. 'NFCP' allows the commodity pricing model to consist of n correlated factors, with both random walk and mean-reverting elements. The n-factor commodity pricing model framework was first presented in the work of Cortazar and Naranjo (2006) <doi:10.1002/fut.20198>. Examples presented in 'NFCP' replicate the two-factor crude oil commodity pricing model presented in the prolific work of Schwartz and Smith (2000) <doi:10.1287/mnsc.46.7.893.12034> with the approximate term structure futures data applied within this study provided in the 'NFCP' package.

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archivedpackagesr-universe

3.40 score 5 stars 238 downloads

rcldf - Read Linguistic Data in the Cross Linguistic Data Format (CLDF)

Cross-Linguistic Data Format (CLDF) is a framework for storing cross-linguistic data, ensuring compatibility and ease of data exchange between different linguistic datasets see Forkel et al. (2018) <doi:10.1038/sdata.2018.205>. The 'rcldf' package is designed to facilitate the manipulation and analysis of these datasets by simplifying the loading, querying, and visualisation of CLDF datasets making it easier to conduct comparative linguistic analyses, manage language data, and apply statistical methods directly within R.

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archivedpackagesr-universe

3.40 score 5 stars 458 downloads

nomesbr - Limpa e Simplifica Nomes de Pessoas (Name Cleaner and Simplifier)

Limpa e simplifica nomes de pessoas para auxiliar no pareamento de banco de dados na ausência de chaves únicas não ambíguas. Detecta e corrige erros tipográficos mais comuns, simplifica opcionalmente termos sujeitos eventualmente a omissão em cadastros, e simplifica foneticamente suas palavras, aplicando variação própria do algoritmo metaphoneBR. (Cleans and simplifies person names to assist in database matching when unambiguous unique keys are unavailable. Detects and corrects common typos, optionally simplifies terms prone to omission in records, and applies phonetic simplification using a custom variation of the metaphoneBR algorithm.) Mation (2025) <doi:10.6082/uchicago.15104>.

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archivedpackagesr-universe

3.40 score 5 stars 451 downloads

rbrsa - Fetch Turkish Banking Sector Data from the Turkish Banking Regulation and Supervision Agency

The goal of the 'rbrsa' package is to provide automated access to banking sector data from the Turkish Banking Regulation and Supervision Agency (BRSA, known as BDDK in Turkish). The package retrieves tables from two distinct publication portals maintained by the BRSA: The Monthly Bulletin Portal <https://www.bddk.org.tr/bultenaylik> and The FinTurk Data System <https://www.bddk.org.tr/BultenFinturk>.

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archivedpackagesr-universe

3.40 score 5 stars 439 downloads

waterquality - Satellite Derived Water Quality Detection Algorithms

The main purpose of waterquality is to quickly and easily convert satellite-based reflectance imagery into one or many well-known water quality algorithms designed for the detection of harmful algal blooms or the following pigment proxies: chlorophyll-a, blue-green algae (phycocyanin), and turbidity. Johansen et al. (2019) <doi:10.21079/11681/35053>.

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archivedpackagesr-universe

3.40 score 5 stars 186 downloads

rGhanaCensus - 2021 Ghana Population and Housing Census Results as Data Frames

Datasets from the 2021 Ghana Population and Housing Census Results. Users can access results as 'tidyverse' and 'sf'-Ready Data Frames. The data in this package is scraped from pdf reports released by the Ghana Statistical Service website <https://census2021.statsghana.gov.gh/> . The package currently only contains datasets from the literacy and education reports. Namely, school attendance data for respondents aged 3 years and above.

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archivedpackagesr-universe

3.40 score 5 stars 137 downloads

matahari - Spy on Your R Session

Conveniently log everything you type into the R console. Logs are are stored as tidy data frames which can then be analyzed using 'tidyverse' style tools.

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archivedpackagesr-universe

3.40 score 5 stars 205 downloads

ExpDes.pt - Pacote Experimental Designs (Portugues)

Pacote para análise de delineamentos experimentais (DIC, DBC e DQL), experimentos em esquema fatorial duplo (em DIC e DBC), experimentos em parcelas subdivididas (em DIC e DBC), experimentos em esquema fatorial duplo com um tratamento adicional (em DIC e DBC), experimentos em fatorial triplo (em DIC e DBC) e experimentos em esquema fatorial triplo com um tratamento adicional (em DIC e DBC), fazendo analise de variancia e comparacao de multiplas medias (para tratamentos qualitativos), ou ajustando modelos de regressao ate a terceira potencia (para tratamentos quantitativos); analise de residuos (Ferreira, Cavalcanti and Nogueira, 2014) <doi:10.4236/am.2014.519280>.

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archivedpackagesr-universe

3.10 score 5 stars 2.5k downloads

RSGHB - Functions for Hierarchical Bayesian Estimation: A Flexible Approach

Functions for estimating models using a Hierarchical Bayesian (HB) framework. The flexibility comes in allowing the user to specify the likelihood function directly instead of assuming predetermined model structures. Types of models that can be estimated with this code include the family of discrete choice models (Multinomial Logit, Mixed Logit, Nested Logit, Error Components Logit and Latent Class) as well ordered response models like ordered probit and ordered logit. In addition, the package allows for flexibility in specifying parameters as either fixed (non-varying across individuals) or random with continuous distributions. Parameter distributions supported include normal, positive/negative log-normal, positive/negative censored normal, and the Johnson SB distribution. Kenneth Train's Matlab and Gauss code for doing Hierarchical Bayesian estimation has served as the basis for a few of the functions included in this package. These Matlab/Gauss functions have been rewritten to be optimized within R. Considerable code has been added to increase the flexibility and usability of the code base. Train's original Gauss and Matlab code can be found here: <http://elsa.berkeley.edu/Software/abstracts/train1006mxlhb.html> See Train's chapter on HB in Discrete Choice with Simulation here: <http://elsa.berkeley.edu/books/choice2.html>; and his paper on using HB with non-normal distributions here: <http://eml.berkeley.edu//~train/trainsonnier.pdf>. The authors would also like to thank the invaluable contributions of Stephane Hess and the Choice Modelling Centre: <https://cmc.leeds.ac.uk/>.

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archivedpackagesr-universe

2.83 score 5 stars 1.3k downloads

chilemapas - Mapas de las Divisiones Politicas y Administrativas de Chile (Maps of the Political and Administrative Divisions of Chile)

Mapas terrestres con topologias simplificadas. Estos mapas no tienen precision geodesica, por lo que aplica el DFL-83 de 1979 de la Republica de Chile y se consideran referenciales sin validez legal. No se incluyen los territorios antarticos y bajo ningun evento estos mapas significan que exista una cesion u ocupacion de territorios soberanos en contra del Derecho Internacional por parte de Chile. Esta paquete esta documentado intencionalmente en castellano asciificado para que funcione sin problema en diferentes plataformas. (Terrestrial maps with simplified toplogies. These maps lack geodesic precision, therefore DFL-83 1979 of the Republic of Chile applies and are considered to have no legal validity. Antartic territories are excluded and under no event these maps mean there is a cession or occupation of sovereign territories against International Laws from Chile. This package was intentionally documented in asciified spanish to make it work without problem on different platforms.)

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archivedpackagesr-universe

2.70 score 5 stars 642 downloads

gripp - General Inverse Problem Platform

Set of functions designed to solve inverse problems. The direct problem is used to calculate a cost function to be minimized. Here are listed some papers using Inverse Problems solvers and sensitivity analysis: (Jader Lugon Jr.; Antonio J. Silva Neto 2011) <doi:10.1590/S1678-58782011000400003>. (Jader Lugon Jr.; Antonio J. Silva Neto; Pedro P.G.W. Rodrigues 2008) <doi:10.1080/17415970802082864>. (Jader Lugon Jr.; Antonio J. Silva Neto; Cesar C. Santana 2008) <doi:10.1080/17415970802082922>.

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archivedpackagesr-universe

2.70 score 5 stars 140 downloads

PersianStemmer - Persian Stemmer for Text Analysis

Allows users to stem Persian texts for text analysis.

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archivedpackagesr-universe

2.48 score 5 stars 2 dependents 7 scripts 108 downloads

RcensusPkg - Easily Access US Census Bureau Survey and Geographic Data

The key function 'get_vintage_data()' returns a dataframe and is the window into the Census Bureau API requiring just a dataset name, vintage(year), and vector of variable names for survey estimates/percentages. Other functions assist in searching for available datasets, geographies, group/variable concepts of interest. Also provided are functions to access and layer (via standard piping) displayable geometries for the US, states, counties, blocks/tracts, roads, landmarks, places, and bodies of water. Joining survey data with many of the geometry functions is built-in to produce choropleth maps.

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archivedpackagesr-universe

2.40 score 5 stars 119 downloads

HealthMarkers - Toolkit for Clinical, Metabolic, and Cardiovascular Biomarker Calculations

Computes over 50 specialist health marker functions covering insulin sensitivity and resistance indices (fasting, oral glucose tolerance test, adipose-tissue, tracer, and dual-energy X-ray absorptiometry (DXA)-based), glycaemic and lipid markers, atherogenic and metabolic syndrome scores, liver steatosis and fibrosis scores, and cardiovascular risk algorithms (Framingham Heart Study equations, atherosclerotic cardiovascular disease (ASCVD) Pooled Cohort Equations, the QRISK3 cardiac risk score, and Systematic Coronary Risk Evaluation 2 (SCORE2) including the Older Persons variant (SCORE2-OP)). Also implements renal function (estimated glomerular filtration rate (eGFR), Kidney Failure Risk Equation (KFRE), chronic kidney disease (CKD) staging), pulmonary function (spirometry z-scores, Body-mass index, airflow Obstruction, Dyspnea, and Exercise capacity index (BODE)), inflammatory markers and the inflammatory age clock (iAge), hormonal panels, body composition and anthropometric z-scores, bone turnover markers and fracture risk (Fracture Risk Assessment Tool (FRAX)), frailty and comorbidity indices (Rockwood, Charlson), psychiatric rating scales, and biomarker panels from alternative biofluids (urine, saliva, sweat). Missing value imputation helpers, pre or post computation normalization and a unified all_health_markers() dispatcher that returns all requested marker groups as a single wide tibble are included.

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archivedpackagesr-universe

2.40 score 5 stars 229 downloads

sumR - Approximate Summation of Series

Application of theoretical results which ensure that the summation of an infinite discrete series is within an arbitrary margin of error of its true value. The C code under the hood is shared through header files to allow users to sum their own low level functions as well. Based on the paper by Braden (1992) <doi: 10.2307/2324995>.

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archivedpackagesr-universe

1.70 score 5 stars 199 downloads

TractorTsbox - Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates

The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()). Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant ou trop imprécis selon les arrondis. Cest un compromis entre simplicité, précision et utilisation des fonctions du package 'stats' de création et de gestion des séries temporelles (ts(), window()).

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archivedpackagesr-universe

2.40 score 5 stars 147 downloads

RcextTools - Analytical Procedures in Support of Brazilian Public Sector External Auditing

Set of analytical procedures based on advanced data analysis in support of Brazil's public sector external control activity.

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archivedpackagesr-universe

2.40 score 5 stars 169 downloads

inegiR - Integrate INEGI’s (Mexican Stats Office) API with R

Provides functions to download and parse information from INEGI (Official Mexican statistics agency). To learn more about the API, see <https://www.inegi.org.mx/servicios/api_indicadores.html>.

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archivedpackagesr-universe

2.40 score 5 stars 628 downloads

galigor - Collection of Packages for Internet Marketing

Collection of packages for work with API 'Google Ads' <https://developers.google.com/google-ads/api/docs/start>, 'Yandex Direct' <https://yandex.ru/dev/direct/>, 'Yandex Metrica' <https://yandex.ru/dev/metrika/>, 'MyTarget' <https://target.my.com/help/advertisers/api_arrangement/ru>, 'Vkontakte' <https://vk.com/dev/methods>, 'Facebook' <https://developers.facebook.com/docs/marketing-apis/> and 'AppsFlyer' <https://support.appsflyer.com/hc/en-us/articles/207034346-Using-Pull-API-aggregate-data>. This packages allows you loading data from ads account and manage your ads materials.

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archivedpackagesr-universe

2.40 score 5 stars 172 downloads

grand - Guidelines for Reporting About Network Data

Interactively applies the Guidelines for Reporting About Network Data (GRAND) to an 'igraph' object, and generates a uniform narrative or tabular description of the object.

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archivedpackagesr-universe

2.40 score 5 stars 146 downloads

raincin - Ranking with Incomplete Information

Various statistical and mathematical ranking and rating methods with incomplete information are included. This package is initially designed for the scoring system in a high school project showcase to rank student research projects, where each judge can only evaluate a set of projects in a limited time period. See Langville, A. N. and Meyer, C. D. (2012), Who is Number 1: The Science of Rating and Ranking, Princeton University Press <doi:10.1515/9781400841677>, and Gou, J. and Wu, S. (2020), A Judging System for Project Showcase: Rating and Ranking with Incomplete Information, Technical Report.

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archivedpackagesr-universe

1.70 score 5 stars 128 downloads

PODES - Village Potential Statistics of Indonesia

Village potential statistics (PODES) collects various information on village potential and challenges faced by villages in Indonesia. Information related to village potential includes economy, security, health, employment, communication and information, sports, entertainment, development, community empowerment, education, socio-culture, transportation in the village. Information related to challenges includes natural disasters, public health, environmental pollution, social problems and security disturbances that occur in the village.

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archivedpackagesr-universe

1.70 score 5 stars 514 downloads

censo2017 - Base de Datos de Facil Acceso del Censo 2017 de Chile (2017 Chilean Census Easy Access Database)

Provee un acceso conveniente a mas de 17 millones de registros de la base de datos del Censo 2017. Los datos fueron importados desde el DVD oficial del INE usando el Convertidor REDATAM creado por Pablo De Grande. Esta paquete esta documentado intencionalmente en castellano asciificado para que funcione sin problema en diferentes plataformas. (Provides convenient access to more than 17 million records from the Chilean Census 2017 database. The datasets were imported from the official DVD provided by the Chilean National Bureau of Statistics by using the REDATAM converter created by Pablo De Grande and in addition it includes the maps accompanying these datasets.)

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archivedpackagesr-universe

1.70 score 5 stars 190 downloads

informedSen - Sensitivity Analysis Informed by a Test for Bias

After testing for biased treatment assignment in an observational study using an unaffected outcome, the sensitivity analysis is constrained to be compatible with that test. The package uses the optimization software gurobi obtainable from <https://www.gurobi.com/>, together with its associated R package, also called gurobi; see: <https://www.gurobi.com/documentation/7.0/refman/installing_the_r_package.html>. The method is a substantial computational and practical enhancement of a concept introduced in Rosenbaum (1992) Detecting bias with confidence in observational studies Biometrika, 79(2), 367-374 <doi:10.1093/biomet/79.2.367>.

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archivedpackagesr-universe

1.70 score 5 stars 179 downloads

adcontabil - Accounting Analysis

Provides methods for processing corporate balance sheets with a focus on the Brazilian reporting format. Includes data standardization, classification by accounting categories, and aggregation of values. Supports accounting and financial analyses of companies, improving efficiency and ensuring reproducibility of empirical studies.

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archivedpackagesr-universe

1.70 score 5 stars 166 downloads

mdhglm - Multivariate Double Hierarchical Generalized Linear Models

Allows various models for multivariate response variables where each response is assumed to follow double hierarchical generalized linear models. In double hierarchical generalized linear models, the mean, dispersion parameters for variance of random effects, and residual variance can be further modeled as random-effect models.

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archivedpackagesr-universe

1.70 score 5 stars 247 downloads

SOPIE - Non-Parametric Estimation of the Off-Pulse Interval of a Pulsar

Provides functions to non-parametrically estimate the off-pulse interval of a source function originating from a pulsar. The technique is based on a sequential application of P-values obtained from goodness-of-fit tests for the uniform distribution, such as the Kolmogorov-Smirnov, Cramer-von Mises, Anderson-Darling and Rayleigh goodness-of-fit tests.

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archivedpackagesr-universe

1.70 score 5 stars 210 downloads

GOLDprice - Gold Price Data

A collection of gold price data in various currencies in the form of USD, EUR, JPY, GBP, CAD, CHF, INR, CNY, TRY, SAR, IDR, AED, THB, VND, EGP, KRW, RUB, ZAR, and AUD. This data comes from the World Gold Council. In addition, the data is in the form of daily, weekly, monthly (average and the end of period), quarterly (average and the end of period), and yearly (average and the end of period).

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archivedpackagesr-universe

1.70 score 5 stars 123 downloads

MadanTextNetwork - Persian Text Mining Tool for Co-Occurrence Network

Provides an extension to 'MadanText' for creating and analyzing co-occurrence networks in Persian text data. This package mainly makes use of the 'PersianStemmer' (Safshekan, R., et al. (2019). <https://CRAN.R-project.org/package=PersianStemmer>), 'udpipe' (Wijffels, J., et al. (2023). <https://CRAN.R-project.org/package=udpipe>), and 'shiny' (Chang, W., et al. (2023). <https://CRAN.R-project.org/package=shiny>) packages.

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archivedpackagesr-universeopenjdk

1.70 score 5 stars 134 downloads

MadanText - Persian Text Mining Tool for Frequency Analysis, Statistical Analysis, and Word Clouds

This is an open-source software designed specifically for text mining in the Persian language. It allows users to examine word frequencies, download data for analysis, and generate word clouds. This tool is particularly useful for researchers and analysts working with Persian language data. This package mainly makes use of the 'PersianStemmer' (Safshekan, R., et al. (2019). <https://CRAN.R-project.org/package=PersianStemmer>), 'udpipe' (Wijffels, J., et al. (2023). <https://CRAN.R-project.org/package=udpipe>), and 'shiny' (Chang, W., et al. (2023). <https://CRAN.R-project.org/package=shiny>) packages.

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archivedpackagesr-universeopenjdk

1.70 score 5 stars 143 downloads

fastshap - Fast Approximate Shapley Values

Computes fast (relative to other implementations) approximate Shapley values for any supervised learning model. Shapley values help to explain the predictions from any black box model using ideas from game theory; see Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> for details.

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archivedpackagesr-universecpp

6.02 score 5 stars 2 dependents 425 scripts 8.3k downloads

radarchart - Radar Chart from 'Chart.js'

Create interactive radar charts using the 'Chart.js' 'JavaScript' library and the 'htmlwidgets' package. 'Chart.js' <http://www.chartjs.org/> is a lightweight library that supports several types of simple chart using the 'HTML5' canvas element. This package provides an R interface specifically to the radar chart, sometimes called a spider chart, for visualising multivariate data.

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archivedpackagesr-universe

5.60 score 5 stars 1 dependents 267 scripts 586 downloads

ggResidpanel - Panels and Interactive Versions of Diagnostic Plots using 'ggplot2'

An R package for creating panels of diagnostic plots for residuals from a model using ggplot2 and plotly to analyze residuals and model assumptions from a variety of viewpoints. It also allows for the creation of interactive diagnostic plots.

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archivedpackagesr-universe

5.09 score 5 stars 493 scripts 400 downloads

preseqR - Predicting Species Accumulation Curves

Originally as an R version of Preseq <doi:10.1038/nmeth.2375>, the package has extended its functionality to predict the r-species accumulation curve (r-SAC), which is the number of species represented at least r times as a function of the sampling effort. When r = 1, the curve is known as the species accumulation curve, or the library complexity curve in high-throughput genomic sequencing. The package includes both parametric and nonparametric methods, as described by Deng C, et al. (2018) <arXiv:1607.02804v3>.

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archivedpackagesr-universe

5.04 score 5 stars 3 dependents 122 scripts 422 downloads

superheat - A Graphical Tool for Exploring Complex Datasets Using Heatmaps

A system for generating extendable and customizable heatmaps for exploring complex datasets, including big data and data with multiple data types.

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archivedpackagesr-universe

4.94 score 5 stars 2 dependents 585 scripts 924 downloads

slopes - Calculate Slopes of Roads, Rivers and Trajectories

Calculates the slope (longitudinal gradient or steepness) of linear geographic features such as roads (for more details, see Ariza-López et al. (2019) <doi:10.1038/s41597-019-0147-x>) and rivers (for more details, see Cohen et al. (2018) <doi:10.1016/j.jhydrol.2018.06.066>). It can use local Digital Elevation Model (DEM) data or download DEM data via the 'ceramic' package. The package also provides functions to add elevation data to linestrings and visualize elevation profiles.

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archivedpackagesr-universe

4.84 score 5 stars 55 scripts 199 downloads

rgexf - Build, Import, and Export GEXF Graph Files

Create, read, and write 'GEXF' (Graph Exchange 'XML' Format) graph files (used in 'Gephi' and others). Using the 'XML' package, rgexf allows reading and writing GEXF files, including attributes, 'GEXF' visual attributes (such as color, size, and position), network dynamics (for both edges and nodes), and edges' weights. Users can build/handle graphs element-by-element or massively through data frames, visualize the graph on a web browser through 'gexf-js' (a 'javascript' library), and interact with the 'igraph' package.

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archivedpackagesr-universe

4.82 score 5 stars 220 scripts 1.2k downloads

itsdm - Isolation Forest-Based Presence-Only Species Distribution Modeling

Collection of R functions to do purely presence-only species distribution modeling with isolation forest (iForest) and its variations such as Extended isolation forest and SCiForest. See the details of these methods in references: Liu, F.T., Ting, K.M. and Zhou, Z.H. (2008) <doi:10.1109/ICDM.2008.17>, Hariri, S., Kind, M.C. and Brunner, R.J. (2019) <doi:10.1109/TKDE.2019.2947676>, Liu, F.T., Ting, K.M. and Zhou, Z.H. (2010) <doi:10.1007/978-3-642-15883-4_18>, Guha, S., Mishra, N., Roy, G. and Schrijvers, O. (2016) <https://proceedings.mlr.press/v48/guha16.html>, Cortes, D. (2021) <doi:10.48550/arXiv.2110.13402>. Additionally, Shapley values are used to explain model inputs and outputs. See details in references: Shapley, L.S. (1953) <doi:10.1515/9781400881970-018>, Lundberg, S.M. and Lee, S.I. (2017) <https://dm-gatech.github.io/CS8803-Fall2018-DML-Papers/shapley.pdf>, Molnar, C. (2020) <ISBN:978-0-244-76852-2>, Štrumbelj, E. and Kononenko, I. (2014) <doi:10.1007/s10115-013-0679-x>. itsdm also provides functions to diagnose variable response, analyze variable importance, draw spatial dependence of variables and examine variable contribution. As utilities, the package includes a few functions to download bioclimatic variables including 'WorldClim' version 2.0 (see Fick, S.E. and Hijmans, R.J. (2017) <doi:10.1002/joc.5086>) and 'CMCC-BioClimInd' (see Noce, S., Caporaso, L. and Santini, M. (2020) <doi:10.1038/s41597-020-00726-5>.

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archivedpackagesr-universe

4.69 score 5 stars 65 scripts 175 downloads

PRA - Project Risk Analysis

Data analysis for Project Risk Management via the Second Moment Method, Monte Carlo Simulation, Contingency Analysis, Sensitivity Analysis, Earned Value Management, Learning Curves, Bayesian Methods, and more.

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archivedpackagesr-universe

4.36 score 5 stars 13 scripts 513 downloads

VBTree - Vector Binary Tree to Make Your Data Management More Efficient

Vector binary tree provides a new data structure, to make your data visiting and management more efficient. If the data has structured column names, it can read these names and factorize them through specific split pattern, then build the mappings within double list, vector binary tree, array and tensor mutually, through which the batched data processing is achievable easily. The methods of array and tensor are also applicable. Detailed methods are described in Chen Zhang et al. (2020) <doi:10.35566/isdsa2019c8>.

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archivedpackagesr-universe

4.35 score 5 stars 1 dependents 30 scripts 158 downloads

Rdiagnosislist - Manipulate SNOMED CT Diagnosis Lists

Functions and methods for manipulating 'SNOMED CT' concepts. The package contains functions for loading the 'SNOMED CT' release into a convenient R environment, selecting 'SNOMED CT' concepts using regular expressions, and navigating the 'SNOMED CT' ontology. It provides the 'SNOMEDconcept' S3 class for a vector of 'SNOMED CT' concepts (stored as 64-bit integers) and the 'SNOMEDcodelist' S3 class for a table of concepts IDs with descriptions. The package can be used to construct sets of 'SNOMED CT' concepts for research (<doi:10.1093/jamia/ocac158>). For more information about 'SNOMED CT' visit <https://www.snomed.org/>.

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archivedpackagesr-universe

4.32 score 5 stars 21 scripts 197 downloads

rrecsys - Environment for Evaluating Recommender Systems

Processes standard recommendation datasets (e.g., a user-item rating matrix) as input and generates rating predictions and lists of recommended items. Standard algorithm implementations which are included in this package are the following: Global/Item/User-Average baselines, Weighted Slope One, Item-Based KNN, User-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology (Shani, et al. (2011) <doi:10.1007/978-0-387-85820-3_8>) for recommender systems using measures such as MAE, RMSE, Precision, Recall, F1, AUC, NDCG, RankScore and coverage measures. The package (Coba, et al.(2017) <doi: 10.1007/978-3-319-60042-0_36>) is intended for rapid prototyping of recommendation algorithms and education purposes.

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archivedpackagesr-universecpp

4.32 score 5 stars 35 scripts 40 downloads

tok - Fast Text Tokenization

Interfaces with the 'Hugging Face' tokenizers library to provide implementations of today's most used tokenizers such as the 'Byte-Pair Encoding' algorithm <https://huggingface.co/docs/tokenizers/index>. It's extremely fast for both training new vocabularies and tokenizing texts.

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archivedpackagesr-universerustcargo

4.17 score 5 stars 1 dependents 15 scripts 13k downloads

forsearch - Diagnostic Analysis Using Forward Search Procedure for Various Models

Identifies potential data outliers and their impact on estimates and analyses. Tool for evaluation of study credibility. Uses the forward search approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset that is to be analyzed by functions lm {stats}, glm {stats}, nls {stats}, lme {nlme}, or coxph {survival}, or their equivalent in another language. Includes graphics functions to display the descriptive statistics.

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archivedpackagesr-universe

4.00 score 5 stars 226 downloads

eurlex - Retrieve Data on European Union Law

Access to data on European Union laws and court decisions made easy with pre-defined 'SPARQL' queries and 'GET' requests. See Ovadek (2021) <doi:10.1080/2474736X.2020.1870150> .

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archivedpackagesr-universe

3.92 score 5 stars 33 scripts 251 downloads

aws.alexa - Client for the Amazon Alexa Web Information Services API

Use the Amazon Alexa Web Information Services API to find information about domains, including the kind of content that they carry, how popular are they---rank and traffic history, sites linking to them, among other things. See <https://aws.amazon.com/awis/> for more information.

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archivedpackagesr-universe

3.88 score 5 stars 9 scripts 247 downloads

TPMplt - Tool-Kit for Dynamic Materials Model and Thermal Processing Maps

Provides a simple approach for constructing dynamic materials modeling suggested by Prasad and Gegel (1984) <doi:10.1007/BF02664902>. It can easily generate various processing-maps based on this model as well. The calculation result in this package contains full materials constants, information about power dissipation efficiency factor, and rheological properties, can be exported completely also, through which further analysis and customized plots will be applicable as well.

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archivedpackagesr-universe

3.86 score 5 stars 29 scripts 204 downloads

regplot - Enhanced Regression Nomogram Plot

A function to plot a regression nomogram of regression objects. Covariate distributions are superimposed on nomogram scales and the plot can be animated to allow on-the-fly changes to distribution representation and to enable outcome calculation.

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archivedpackagesr-universe

3.77 score 5 stars 91 scripts 1.3k downloads

logisticRR - Adjusted Relative Risk from Logistic Regression

Adjusted odds ratio conditional on potential confounders can be directly obtained from logistic regression. However, those adjusted odds ratios have been widely incorrectly interpreted as a relative risk. As relative risk is often of interest in public health, we provide a simple code to return adjusted relative risks from logistic regression model under potential confounders.

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archivedpackagesr-universe

3.65 score 5 stars 18 scripts 199 downloads

qfasar - Quantitative Fatty Acid Signature Analysis in R

An implementation of Quantitative Fatty Acid Signature Analysis (QFASA) in R. QFASA is a method of estimating the diet composition of predators. The fundamental unit of information in QFASA is a fatty acid signature (signature), which is a vector of proportions describing the composition of fatty acids within lipids. Signature data from at least one predator and from samples of all potential prey types are required. Calibration coefficients, which adjust for the differential metabolism of individual fatty acids by predators, are also required. Given those data inputs, a predator signature is modeled as a mixture of prey signatures and its diet estimate is obtained as the mixture that minimizes a measure of distance between the observed and modeled signatures. A variety of estimation options and simulation capabilities are implemented. Please refer to the vignette for additional details and references.

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archivedpackagesr-universe

3.60 score 5 stars 40 scripts 176 downloads

osc - Orthodromic Spatial Clustering

Allows distance based spatial clustering of georeferenced data by implementing the City Clustering Algorithm - CCA. Multiple versions allow clustering for a matrix, raster and single coordinates on a plain (Euclidean distance) or on a sphere (great-circle or orthodromic distance).

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archivedpackagesr-universe

3.51 score 5 stars 13 scripts 159 downloads

pwr2 - Power and Sample Size Analysis for One-way and Two-way ANOVA Models

User friendly functions for power and sample size analysis at one-way and two-way ANOVA settings take either effect size or delta and sigma as arguments. They are designed for both one-way and two-way ANOVA settings. In addition, a function for plotting power curves is available for power comparison, which can be easily visualized by statisticians and clinical researchers.

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archivedpackagesr-universe

3.51 score 5 stars 1 dependents 54 scripts 555 downloads

lodi - Limit of Detection Imputation for Single-Pollutant Models

Impute observed values below the limit of detection (LOD) via censored likelihood multiple imputation (CLMI) in single-pollutant models, developed by Boss et al (2019) <doi:10.1097/EDE.0000000000001052>. CLMI handles exposure detection limits that may change throughout the course of exposure assessment. 'lodi' provides functions for imputing and pooling for this method.

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archivedpackagesr-universe

3.48 score 5 stars 12 scripts 38 downloads

coursekata - Packages and Functions for 'CourseKata' Courses

Easily install and load all packages and functions used in 'CourseKata' courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about 'CourseKata' at <https://www.coursekata.org>.

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archivedpackagesr-universe

3.44 score 5 stars 1.1k downloads

scStability - Measuring the Stability of Dimension Reduction and Cluster Assignment in scRNA-Seq Experiments

Provides functions for evaluating the stability of low-dimensional embeddings and cluster assignments in single‑cell RNA sequencing (scRNA‑seq) datasets. Starting from a principal component analysis (PCA) object, users can generate multiple replicates of t‑Distributed Stochastic Neighbor Embedding (t‑SNE) or Uniform Manifold Approximation and Projection (UMAP) embeddings. Embedding stability is quantified by computing pairwise Kendall’s Tau correlations across replicates and summarizing the distribution of correlation coefficients. In addition to dimensionality reduction, 'scStability' assesses clustering consistency using either Louvain or Leiden algorithms and calculating the Normalized Mutual Information (NMI) between all pairs of cluster assignments. For background on UMAP and t-SNE algorithms, see McInnes et al. (2020, <doi:10.21105/joss.00861>) and van der Maaten & Hinton (2008, <https://github.com/lvdmaaten/bhtsne>), respectively.

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singlecellrnaseqarchivedpackagesr-universe

3.40 score 5 stars 6 scripts 180 downloads

mosqcontrol - Mosquito Control Resource Optimization

This project aims to make an accessible model for mosquito control resource optimization. The model uses data provided by users to estimate the mosquito populations in the sampling area for the sampling time period, and the optimal time to apply a treatment or multiple treatments.

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archivedpackagesr-universe

3.40 score 5 stars 4 scripts 195 downloads

TableHC - Higher Criticism Test of Two Frequency Counts Tables

Higher Criticism (HC) test between two frequency tables. Test is based on an adaptation of the Tukey-Donoho-Jin HC statistic to testing frequency tables described in Kipnis (2019) <arXiv:1911.01208>.

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archivedpackagesr-universe

3.40 score 5 stars 1 scripts 175 downloads

Raquifer - Estimate the Water Influx into Hydrocarbon Reservoirs

Generate a table of cumulative water influx into hydrocarbon reservoirs over time using un-steady and pseudo-steady state models. Van Everdingen, A. F. and Hurst, W. (1949) <doi:10.2118/949305-G>. Fetkovich, M. J. (1971) <doi:10.2118/2603-PA>. Yildiz, T. and Khosravi, A. (2007) <doi:10.2118/103283-PA>.

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archivedpackagesr-universe

3.40 score 5 stars 4 scripts 201 downloads

SymbolicDeterminants - Symbolic Representation of Matrix Determinant

Creates a numeric guide for writing the formula for the determinant of a square matrix (a detguide) as a function of the elements of the matrix and writes out that formula, the symbolic representation.

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archivedpackagesr-universe

3.40 score 5 stars 219 downloads

binomialRF - Binomial Random Forest Feature Selection

The 'binomialRF' is a new feature selection technique for decision trees that aims at providing an alternative approach to identify significant feature subsets using binomial distributional assumptions (Rachid Zaim, S., et al. (2019)) <doi:10.1101/681973>. Treating each splitting variable selection as a set of exchangeable correlated Bernoulli trials, 'binomialRF' then tests whether a feature is selected more often than by random chance.

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softwaregenepredictionstatisticalmethoddecisiontreedimensionreductionexperimentaldesignarchivedpackagesr-universe

3.40 score 5 stars 1 scripts 221 downloads

Irescale - Calculate and Rectify Moran's I

Provides a scaling method to obtain a standardized Moran's I measure. Moran's I is a measure for the spatial autocorrelation of a data set, it gives a measure of similarity between data and its surrounding. The range of this value must be [-1,1], but this does not happen in practice. This package scale the Moran's I value and map it into the theoretical range of [-1,1]. Once the Moran's I value is rescaled, it facilitates the comparison between projects, for instance, a researcher can calculate Moran's I in a city in China, with a sample size of n1 and area of interest a1. Another researcher runs a similar experiment in a city in Mexico with different sample size, n2, and an area of interest a2. Due to the differences between the conditions, it is not possible to compare Moran's I in a straightforward way. In this version of the package, the spatial autocorrelation Moran's I is calculated as proposed in Chen(2013) <arXiv:1606.03658>.

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archivedpackagesr-universe

3.40 score 5 stars 3 scripts 197 downloads

GIFTr - GIFT Questions Format Generator from Dataframes

A framework and functions to create 'MOODLE' quizzes. 'GIFTr' takes dataframe of questions of four types: multiple choices, numerical, true or false and short answer questions, and exports a text file formatted in 'MOODLE' GIFT format. You can prepare a spreadsheet in any software and import it into R to generate any number of questions with 'HTML', 'markdown' and 'LaTeX' support.

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archivedpackagesr-universe

3.40 score 5 stars 3 scripts 197 downloads

mediacloudr - Wrapper for the 'mediacloud.org' API

API wrapper to gather news stories, media information and tags from the 'mediacloud.org' API, based on a multilevel query <https://mediacloud.org/>. A personal API key is required.

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archivedpackagesr-universe

3.40 score 5 stars 4 scripts 35 downloads

subgxe - Combine Multiple GWAS by Using Gene-Environment Interactions

Classical methods for combining summary data from genome-wide association studies (GWAS) only use marginal genetic effects and power can be compromised in the presence of heterogeneity. 'subgxe' is a R package that implements p-value assisted subset testing for association (pASTA), a method developed by Yu et al. (2019) <doi:10.1159/000496867>. pASTA generalizes association analysis based on subsets by incorporating gene-environment interactions into the testing procedure.

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archivedpackagesr-universe

3.40 score 5 stars 4 scripts 33 downloads

igate - Guided Analytics for Testing Manufacturing Parameters

An implementation of the initial guided analytics for parameter testing and controlband extraction framework. Functions are available for continuous and categorical target variables as well as for generating standardized reports of the conducted analysis. See <https://github.com/stefan-stein/igate> for more information on the technology.

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archivedpackagesr-universe

3.40 score 5 stars 4 scripts 39 downloads

foreSIGHT - Systems Insights from Generation of Hydroclimatic Timeseries

A tool to create hydroclimate scenarios, stress test systems and visualize system performance in scenario-neutral climate change impact assessments. Scenario-neutral approaches 'stress-test' the performance of a modelled system by applying a wide range of plausible hydroclimate conditions (see Brown & Wilby (2012) <doi:10.1029/2012EO410001> and Prudhomme et al. (2010) <doi:10.1016/j.jhydrol.2010.06.043>). These approaches allow the identification of hydroclimatic variables that affect the vulnerability of a system to hydroclimate variation and change. This tool enables the generation of perturbed time series using a range of approaches including simple scaling of observed time series (e.g. Culley et al. (2016) <doi:10.1002/2015WR018253>) and stochastic simulation of perturbed time series via an inverse approach (see Guo et al. (2018) <doi:10.1016/j.jhydrol.2016.03.025>). It incorporates 'Richardson-type' weather generator model configurations documented in Richardson (1981) <doi:10.1029/WR017i001p00182>, Richardson and Wright (1984), as well as latent variable type model configurations documented in Bennett et al. (2018) <doi:10.1016/j.jhydrol.2016.12.043>, Rasmussen (2013) <doi:10.1002/wrcr.20164>, Bennett et al. (2019) <doi:10.5194/hess-23-4783-2019> to generate hydroclimate variables on a daily basis (e.g. precipitation, temperature, potential evapotranspiration) and allows a variety of different hydroclimate variable properties, herein called attributes, to be perturbed. Options are included for the easy integration of existing system models both internally in R and externally for seamless 'stress-testing'. A suite of visualization options for the results of a scenario-neutral analysis (e.g. plotting performance spaces and overlaying climate projection information) are also included. Version 1.0 of this package is described in Bennett et al. (2021) <doi:10.1016/j.envsoft.2021.104999>. As further developments in scenario-neutral approaches occur the tool will be updated to incorporate these advances.

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archivedpackagesr-universecpp

3.28 score 5 stars 19 scripts 606 downloads

BayesGOF - Bayesian Modeling via Frequentist Goodness-of-Fit

A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. 2018 paper "Generalized Empirical Bayes via Frequentist Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).

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archivedpackagesr-universe

3.26 score 5 stars 1 dependents 12 scripts 301 downloads

neighbr - Classification, Regression, Clustering with K Nearest Neighbors

Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.

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archivedpackagesr-universe

3.23 score 5 stars 34 scripts 340 downloads

MultinomialCI - Simultaneous Confidence Intervals for Multinomial Proportions According to the Method by Sison and Glaz

An implementation of a method for building simultaneous confidence intervals for the probabilities of a multinomial distribution given a set of observations, proposed by Sison and Glaz in their paper: Sison, C.P and J. Glaz. Simultaneous confidence intervals and sample size determination for multinomial proportions. Journal of the American Statistical Association, 90:366-369 (1995). The method is an R translation of the SAS code implemented by May and Johnson in their paper: May, W.L. and W.D. Johnson. Constructing two-sided simultaneous confidence intervals for multinomial proportions for small counts in a large number of cells. Journal of Statistical Software 5(6) (2000). Paper and code available at <DOI:10.18637/jss.v005.i06>.

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archivedpackagesr-universe

3.22 score 5 stars 66 scripts 1.0k downloads

marima - Multivariate ARIMA and ARIMA-X Analysis

Multivariate ARIMA and ARIMA-X estimation using Spliid's algorithm (marima()) and simulation (marima.sim()).

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archivedpackagesr-universe

3.21 score 5 stars 1 dependents 108 scripts 257 downloads

smallarea - Fits a Fay Herriot Model

Inference techniques for Fay Herriot Model.

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archivedpackagesr-universe

3.18 score 5 stars 1 dependents 9 scripts 182 downloads

varian - Variability Analysis in R

Uses a Bayesian model to estimate the variability in a repeated measure outcome and use that as an outcome or a predictor in a second stage model.

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archivedpackagesr-universe

3.11 score 5 stars 1 dependents 17 scripts 239 downloads

gitlink - Add 'Git' Links to Your Web Based Assets

Provides helpers to add 'Git' links to 'shiny' applications, 'rmarkdown' documents, and other 'HTML' based resources. This is most commonly used for 'GitHub' ribbons.

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archivedpackagesr-universe

3.08 score 5 stars 48 scripts 38 downloads

DramaAnalysis - Analysis of Dramatic Texts

Analysis of preprocessed dramatic texts, with respect to literary research. The package provides functions to analyze and visualize information about characters, stage directions, the dramatic structure and the text itself. The dramatic texts are expected to be in CSV format, which can be installed from within the package, sample texts are provided. The package and the reasoning behind it are described in Reiter et al. (2017) <doi:10.18420/in2017_119>.

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archivedpackagesr-universe

3.01 score 5 stars 41 scripts 200 downloads

HDCI - High Dimensional Confidence Interval Based on Lasso and Bootstrap

Fits regression models on high dimensional data to estimate coefficients and use bootstrap method to obtain confidence intervals. Choices for regression models are Lasso, Lasso+OLS, Lasso partial ridge, Lasso+OLS partial ridge.

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archivedpackagesr-universe

3.01 score 5 stars 2 dependents 34 scripts 215 downloads

RSurveillance - Design and Analysis of Disease Surveillance Activities

A range of functions for the design and analysis of disease surveillance activities. These functions were originally developed for animal health surveillance activities but can be equally applied to aquatic animal, wildlife, plant and human health surveillance activities. Utilities are included for sample size calculation and analysis of representative surveys for disease freedom, risk-based studies for disease freedom and for prevalence estimation. This package is based on Cameron A., Conraths F., Frohlich A., Schauer B., Schulz K., Sergeant E., Sonnenburg J., Staubach C. (2015). R package of functions for risk-based surveillance. Deliverable 6.24, WP 6 - Decision making tools for implementing risk-based surveillance, Grant Number no. 310806, RISKSUR (<https://www.fp7-risksur.eu/sites/default/files/documents/Deliverables/RISKSUR_%28310806%29_D6.24.pdf>). Many of the 'RSurveillance' functions are incorporated into the 'epitools' website: Sergeant, ESG, 2019. Epitools epidemiological calculators. Ausvet Pty Ltd. Available at: <http://epitools.ausvet.com.au>.

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archivedpackagesr-universe

3.00 score 5 stars 66 scripts 195 downloads

string2path - Rendering Font into 'data.frame'

Extract glyph information from font data, and translate the outline curves to flattened paths or tessellated polygons. The converted data is returned as a 'data.frame' in easy-to-plot format.

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archivedpackagesr-universerustcargofontconfig

2.96 score 5 stars 13 scripts 14k downloads

PLMIX - Bayesian Analysis of Finite Mixture of Plackett-Luce Models

Fit finite mixtures of Plackett-Luce models for partial top rankings/orderings within the Bayesian framework. It provides MAP point estimates via EM algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special case of the noninformative Bayesian analysis with vague priors. In addition to inferential techniques, the package assists other fundamental phases of a model-based analysis for partial rankings/orderings, by including functions for data manipulation, simulation, descriptive summary, model selection and goodness-of-fit evaluation. Main references on the methods are Mollica and Tardella (2017) <doi:10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi:10.1002/sim.6224>.

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archivedpackagesr-universecpp

2.89 score 5 stars 31 scripts 485 downloads

shinySIR - Interactive Plotting for Mathematical Models of Infectious Disease Spread

Provides interactive plotting for mathematical models of infectious disease spread. Users can choose from a variety of common built-in ordinary differential equation (ODE) models (such as the SIR, SIRS, and SIS models), or create their own. This latter flexibility allows 'shinySIR' to be applied to simple ODEs from any discipline. The package is a useful teaching tool as students can visualize how changing different parameters can impact model dynamics, with minimal knowledge of coding in R. The built-in models are inspired by those featured in Keeling and Rohani (2008) <doi:10.2307/j.ctvcm4gk0> and Bjornstad (2018) <doi:10.1007/978-3-319-97487-3>.

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archivedpackagesr-universe

2.88 score 5 stars 15 scripts 231 downloads

NMI - Normalized Mutual Information of Community Structure in Network

Calculates the normalized mutual information (NMI) of two community structures in network analysis.

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archivedpackagesr-universe

2.85 score 5 stars 1 dependents 47 scripts 234 downloads

ushr - Understanding Suppression of HIV

Analyzes longitudinal data of HIV decline in patients on antiretroviral therapy using the canonical biphasic exponential decay model (pioneered, for example, by work in Perelson et al. (1997) <doi:10.1038/387188a0>; and Wu and Ding (1999) <doi:10.1111/j.0006-341X.1999.00410.x>). Model fitting and parameter estimation are performed, with additional options to calculate the time to viral suppression. Plotting and summary tools are also provided for fast assessment of model results.

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archivedpackagesr-universe

2.74 score 5 stars 11 scripts 183 downloads

ezmmek - Easy Michaelis-Menten Enzyme Kinetics

Serves as a platform for published fluorometric enzyme assay protocols. 'ezmmek' calibrates, calculates, and plots enzyme activities as they relate to the transformation of synthetic substrates. At present, 'ezmmek' implements two common protocols found in the literature, and is modular to accommodate additional protocols. Here, these protocols are referred to as the In-Sample Calibration (Hoppe, 1983; <doi:10.3354/meps011299>) and In-Buffer Calibration (German et al., 2011; <doi:10.1016/j.soilbio.2011.03.017>). protocols. By containing multiple protocols, 'ezmmek' aims to stimulate discussion about how to best optimize fluorometric enzyme assays. A standardized approach would make studies more comparable and reproducible.

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archivedpackagesr-universe

2.74 score 5 stars 11 scripts 204 downloads

mlmm.gwas - Pipeline for GWAS Using MLMM

Pipeline for Genome-Wide Association Study using Multi-Locus Mixed Model from Segura V, Vilhjálmsson BJ et al. (2012) <doi:10.1038/ng.2314>. The pipeline include detection of associated SNPs with MLMM, model selection by lowest eBIC and p-value threshold, estimation of the effects of the SNPs in the selected model and graphical functions.

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archivedpackagesr-universe

2.74 score 5 stars 11 scripts 38 downloads

EESPCA - Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)

Contains logic for computing sparse principal components via the EESPCA method, which is based on an approximation of the eigenvector/eigenvalue identity. Includes logic to support execution of the TPower and rifle sparse PCA methods, as well as logic to estimate the sparsity parameters used by EESPCA, TPower and rifle via cross-validation to minimize the out-of-sample reconstruction error. H. Robert Frost (2021) <doi:10.1080/10618600.2021.1987254>.

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archivedpackagesr-universe

2.70 score 5 stars 2 scripts 192 downloads

PSS.Health - Power and Sample Size for Health Researchers via Shiny

Power and Sample Size for Health Researchers is a Shiny application that brings together a series of functions related to sample size and power calculations for common analysis in the healthcare field. There are functionalities to calculate the power, sample size to estimate or test hypotheses for means and proportions (including test for correlated groups, equivalence, non-inferiority and superiority), association, correlations coefficients, regression coefficients (linear, logistic, gamma, and Cox), linear mixed model, Cronbach's alpha, interobserver agreement, intraclass correlation coefficients, limit of agreement on Bland-Altman plots, area under the curve, sensitivity and specificity incorporating the prevalence of disease. You can also use the online version at <https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.

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archivedpackagesr-universe

2.70 score 5 stars 1 scripts 192 downloads

dress.graph - DRESS - A Continuous Framework for Structural Graph Refinement

DRESS is a deterministic, parameter-free framework for continuous structural graph refinement. It iterates a nonlinear dynamical system on real-valued edge similarities and produces a graph fingerprint as a sorted edge-value vector once the iteration reaches a prescribed stopping criterion. The resulting fingerprint is self-contained, isomorphism-invariant by construction, reproducible across vertex labelings under the reference implementation, numerically robust in practice, and efficient to compute with straightforward parallelization and distribution.

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archivedpackagesr-universeopenmpiopenmp

2.70 score 5 stars 20 scripts 258 downloads

DrDimont - Drug Response Prediction from Differential Multi-Omics Networks

While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have been proposed, and networks provide means to incorporate molecular interactions into reasoning. However, how to integrate the wealth of information contained in multiple omics layers still poses a complex problem. We present a novel network analysis pipeline, DrDimont, Drug response prediction from Differential analysis of multi-omics networks. It allows for comparative conclusions between two conditions and translates them into differential drug response predictions. DrDimont focuses on molecular interactions. It establishes condition-specific networks from correlation within an omics layer that are then reduced and combined into heterogeneous, multi-omics molecular networks. A novel semi-local, path-based integration step ensures integrative conclusions. Differential predictions are derived from comparing the condition-specific integrated networks. DrDimont's predictions are explainable, i.e., molecular differences that are the source of high differential drug scores can be retrieved. Our proposed pipeline leverages multi-omics data for differential predictions, e.g. on drug response, and includes prior information on interactions. The case study presented in the vignette uses data published by Krug (2020) <doi:10.1016/j.cell.2020.10.036>. The package license applies only to the software and explicitly not to the included data.

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2.70 score 5 stars 2 scripts 228 downloads

wearables - Tools to Read and Convert Wearables Data

Package to read Empatica E4, Embrace Plus, and Nowatch data, perform several transformations, perform signal processing and analyses, including batch analyses.

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2.70 score 5 stars 20 scripts 566 downloads

relgam - Reluctant Generalized Additive Models

A method for fitting the entire regularization path of the reluctant generalized additive model (RGAM) for linear regression, logistic, Poisson and Cox regression models. See Tay, J. K., and Tibshirani, R., (2019) <arXiv:1912.01808> for details.

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2.70 score 5 stars 9 scripts 207 downloads

scLink - Inferring Functional Gene Co-Expression Networks from Single Cell Data

Uses statistical network modeling to understand the co-expression relationships among genes and to construct sparse gene co-expression networks from single-cell gene expression data.

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2.70 score 5 stars 10 scripts 197 downloads

iCARH - Integrative Conditional Autoregressive Horseshoe Model

Implements the integrative conditional autoregressive horseshoe model discussed in Jendoubi, T., Ebbels, T.M. Integrative analysis of time course metabolic data and biomarker discovery. BMC Bioinformatics 21, 11 (2020) <doi:10.1186/s12859-019-3333-0>. The model consists in three levels: Metabolic pathways level modeling interdependencies between variables via a conditional auto-regressive (CAR) component, integrative analysis level to identify potential associations between heterogeneous omic variables via a Horseshoe prior and experimental design level to capture experimental design conditions through a mixed-effects model. The package also provides functions to simulate data from the model, construct pathway matrices, post process and plot model parameters.

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2.70 score 5 stars 6 scripts 195 downloads

MVNtestchar - Test for Multivariate Normal Distribution Based on a Characterization

Provides a test of multivariate normality of an unknown sample that does not require estimation of the nuisance parameters, the mean and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters and results in a set of sample matrices that are positive definite. These matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle if and only if the original data is multivariate normal (Fairweather, 1973, Doctoral dissertation, University of Washington). The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for bivariate samples.

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2.70 score 5 stars 180 downloads

PhitestR - Analyzing the Heterogeneity of Single-Cell Populations

A bioinformatics method developed for analyzing the heterogeneity of single-cell populations. Phitest provides an objective and automatic method to evaluate the performance of clustering and quality of cell clusters.

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2.70 score 5 stars 190 downloads

eudata - Access Data from 'GISCO'

Access data related to the European union from 'GISCO' <https://ec.europa.eu/eurostat/web/gisco>, the Geographic Information System of the European Commission, via its rest API at <https://gisco-services.ec.europa.eu>. This package tries to make it easier to get these data into R.

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2.70 score 5 stars 1 scripts 14 downloads

aLFQ - Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data

Determination of absolute protein quantities is necessary for multiple applications, such as mechanistic modeling of biological systems. Quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics can measure relative protein abundance on a system-wide scale. To estimate absolute quantitative information using these relative abundance measurements requires additional information such as heavy-labeled references of known concentration. Multiple methods have been using different references and strategies; some are easily available whereas others require more effort on the users end. Hence, we believe the field might benefit from making some of these methods available under an automated framework, which also facilitates validation of the chosen strategy. We have implemented the most commonly used absolute label-free protein abundance estimation methods for LC-MS/MS modes quantifying on either MS1-, MS2-levels or spectral counts together with validation algorithms to enable automated data analysis and error estimation. Specifically, we used Monte-carlo cross-validation and bootstrapping for model selection and imputation of proteome-wide absolute protein quantity estimation. Our open-source software is written in the statistical programming language R and validated and demonstrated on a synthetic sample.

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2.54 score 5 stars 14 scripts 312 downloads

rstatscn - R Interface for China National Data

R interface for china national data <http://data.stats.gov.cn/>, some convenient functions for accessing the national data are provided.

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2.54 score 5 stars 14 scripts 32 downloads

matrixStrucTest - Tests of Matrix Structure for Construct Validation

Tests for block-diagonal structure in symmetric matrices (e.g. correlation matrices) under the null hypothesis of exchangeable off-diagonal elements. As described in Segal et al. (2019), these tests can be useful for construct validation either by themselves or as a complement to confirmatory factor analysis. Monte Carlo methods are used to approximate the permutation p-value with Hubert's Gamma (Hubert, 1976) and a t-statistic. This package also implements the chi-squared statistic described by Steiger (1980). Please see Segal, et al. (2019) <doi:10.1007/s11336-018-9647-4> for more information.

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2.51 score 5 stars 13 scripts 32 downloads

SCRT - Single-Case Randomization Tests

Design single-case phase, alternation and multiple-baseline experiments, and conduct randomization tests on data gathered by means of such designs, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.

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2.50 score 5 stars 21 scripts 226 downloads

forecastSNSTS - Forecasting for Stationary and Non-Stationary Time Series

Methods to compute linear h-step ahead prediction coefficients based on localised and iterated Yule-Walker estimates and empirical mean squared and absolute prediction errors for the resulting predictors. Also, functions to compute autocovariances for AR(p) processes, to simulate tvARMA(p,q) time series, and to verify an assumption from Kley et al. (2019), Electronic of Statistics, forthcoming. Preprint <arXiv:1611.04460>.

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2.48 score 5 stars 12 scripts 55 downloads

RonFHIR - Read and Search Interface to the 'HL7 FHIR' REST API

R on FHIR is an easy to use wrapper around the 'HL7 FHIR' REST API (STU 3 and R4). It provides tools to easily read and search resources on a FHIR server and brings the results into the R environment. R on FHIR is based on the FhirClient of the official 'HL7 FHIR .NET API', also made by Firely.

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2.44 score 5 stars 11 scripts 527 downloads

QuantumOps - Performs Common Linear Algebra Operations Used in Quantum Computing and Implements Quantum Algorithms

Contains basic structures and operations used frequently in quantum computing. Intended to be a convenient tool to help learn quantum mechanics and algorithms. Can create arbitrarily sized kets and bras and implements quantum gates, inner products, and tensor products. Creates arbitrarily controlled versions of all gates and can simulate complete or partial measurements of kets. Has functionality to convert functions into equivalent quantum gates and model quantum noise. Includes larger applications, such as Steane error correction <DOI:10.1103/physrevlett.77.793>, Quantum Fourier Transform and Shor's algorithm (Shor 1999), Grover's algorithm (1996), Quantum Approximation Optimization Algorithm (QAOA) (Farhi, Goldstone, and Gutmann 2014) <arXiv:1411.4028>, and a variational quantum classifier (Schuld 2018) <arXiv:1804.00633>. Can be used with the gridsynth algorithm <arXiv:1212.6253> to perform decomposition into the Clifford+T set.

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2.43 score 5 stars 54 scripts 163 downloads

npordtests - Nonparametric Tests for Equality of Location Against Ordered Alternatives

Performs nonparametric tests for equality of location against ordered alternatives.

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2.42 score 5 stars 53 scripts 161 downloads

sqlserverconnect - Simple Helpers for Connecting to 'SQL Server'

Lightweight helpers for connecting to Microsoft 'SQL Server' using 'DBI', 'odbc', and 'pool'. Provides simple wrappers for building connection arguments, establishing connections, and safely disconnecting.

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2.40 score 5 stars 158 downloads

AnomalyScore - Anomaly Scoring for Multivariate Time Series

Compute an anomaly score for multivariate time series based on the k-nearest neighbors algorithm. Different computations of distances between time series are provided.

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2.40 score 5 stars 1 scripts 600 downloads

gitGPT - Automated Git Commit Messages using the 'OpenAI' 'GPT' Model

Automates the process of adding, committing, and pushing changes to a 'git' repository using commit messages generated by passing the git diff output to the 'OpenAI' 'GPT-3.5 Turbo' model (<https://platform.openai.com/docs/models/gpt-3>).

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2.40 score 5 stars 2 scripts 197 downloads

ccar3 - Canonical Correlation Analysis via Reduced Rank Regression

Canonical correlation analysis (CCA) via reduced-rank regression with support for regularization and cross-validation. Several methods for estimating CCA in high-dimensional settings are implemented. The first set of methods, cca_rrr() (and variants: cca_group_rrr() and cca_graph_rrr()), assumes that one dataset is high-dimensional and the other is low-dimensional, while the second, ecca() (for Efficient CCA) assumes that both datasets are high-dimensional. For both methods, standard l1 regularization as well as group-lasso regularization are available. cca_graph_rrr further supports total variation regularization when there is a known graph structure among the variables of the high-dimensional dataset. In this case, the loadings of the canonical directions of the high-dimensional dataset are assumed to be smooth on the graph. For more details see Donnat and Tuzhilina (2024) <doi:10.48550/arXiv.2405.19539> and Wu, Tuzhilina and Donnat (2025) <doi:10.48550/arXiv.2507.11160>.

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2.40 score 5 stars 10 scripts 193 downloads

lavDiag - Latent Variable Models Diagnostics

Diagnostics and visualization tools for latent variable models fitted with 'lavaan' (Rosseel, 2012 <doi:10.18637/jss.v048.i02>). The package provides fast, parallel-safe factor-score prediction (lavPredict_parallel()), data augmentation with model predictions, residuals, delta-method standard errors and confidence intervals (augment()), and model-based latent grids for continuous, ordinal, or mixed indicators (prepare()). It offers item-level empirical versus model curve comparison using generalized additive models for both continuous and ordinal indicators (item_data(), item_plot()) via 'mgcv' (Wood, 2017, ISBN:9781498728331), residual diagnostics including residual correlation tables and plots (resid_cor(), resid_corrplot()) using 'corrplot' (Wei and Simko, 2021 <https://github.com/taiyun/corrplot>), and Q–Q checks of residual z-statistics (resid_qq()), optionally with non-overlapping labels from 'ggrepel' (Slowikowski, 2024 <https://CRAN.R-project.org/package=ggrepel>). Heavy computations are parallelized via 'future'/'furrr' (Bengtsson, 2021 <doi:10.32614/RJ-2021-048>; Vaughan and Dancho, 2018 <https://CRAN.R-project.org/package=furrr>). Methods build on established literature and packages listed above.

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2.40 score 5 stars 2 scripts 493 downloads

varjmcm - Estimations for the Covariance of Estimated Parameters in Joint Mean-Covariance Models

The goal of the package is to equip the 'jmcm' package (current version 0.2.1) with estimations of the covariance of estimated parameters. Two methods are provided. The first method is to use the inverse of estimated Fisher's information matrix, see M. Pourahmadi (2000) <doi:10.1093/biomet/87.2.425>, M. Maadooliat, M. Pourahmadi and J. Z. Huang (2013) <doi:10.1007/s11222-011-9284-6>, and W. Zhang, C. Leng, C. Tang (2015) <doi:10.1111/rssb.12065>. The second method is bootstrap based, see Liu, R.Y. (1988) <doi:10.1214/aos/1176351062> for reference.

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2.40 score 5 stars 5 scripts 191 downloads

hindex - Simulating the Development of h-Index Values

H-index and h-alpha are a bibliometric indicators. This package provides functions to simulate how these indicators may develop over time for a given set of researchers and to visualize the simulation data. The implementation is based on the 'STATA' ado h-index and is described in more detail in Bornmann et al. (2019) <arXiv:1905.11052>.

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2.40 score 5 stars 2 scripts 167 downloads

lorenz - Tools for Deriving Income Inequality Estimates from Grouped Income Data

Provides two methods of estimating income inequality statistics from binned income data, such as the income data provided in the Census. These methods use different interpolation techniques to infer the distribution of incomes within income bins. One method is an implementation of Jargowsky and Wheeler's mean-constrained integration over brackets (MCIB). The other method is based on a new technique, Lorenz interpolation, which estimates income inequality by constructing an interpolated Lorenz curve based on the binned income data. These methods can be used to estimate three income inequality measures: the Gini (the default measure returned), the Theil, and the Atkinson's index. Jargowsky and Wheeler (2018) <doi:10.1177/0081175018782579>.

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2.40 score 5 stars 10 scripts 178 downloads

blindreview - Enables Blind Review of Database

Randomly reassigns the group identifications to one of the variables of the database, say Treatment, and randomly reassigns the observation numbers of the dataset. Reorders the observations according to these new numbers. Centers each group of Treatment at the grand mean in order to further mask the treatment. An unmasking function is provided so that the user can identify the potential outliers in terms of their original values when blinding is no longer needed. It is suggested that a forward search procedure be performed on the masked data. Details of some forward search functions may be found in <https://CRAN.R-project.org/package=forsearch>.

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2.40 score 5 stars 1 scripts 219 downloads

ggnuplot - Make 'ggplot2' Look Like 'gnuplot'

Provides a theme, a discrete color palette, and continuous scales to make 'ggplot2' look like 'gnuplot'. This may be helpful if you use both 'ggplot2' and 'gnuplot' in one project.

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2.40 score 5 stars 9 scripts 173 downloads

MGMS2 - 'MGMS2' for Polymicrobial Samples

A glycolipid mass spectrometry technology has the potential to accurately identify individual bacterial species from polymicrobial samples. To develop bacterial identification algorithms (e.g. machine learning) using this glycolipid technology, it is necessary to generate a large number of various in-silico polymicrobial mass spectra that are similar to real mass spectra. 'MGMS2' (Membrane Glycolipid Mass Spectrum Simulator) generates such in-silico mass spectra, considering errors in m/z (mass-to-charge ratio) and variances of intensity values, occasions of missing signature ions, and noise peaks. It estimates summary statistics of monomicrobial mass spectra for each strain or species and simulates polymicrobial glycolipid mass spectra using the summary statistics of monomicrobial mass spectra. References: Ryu, S.Y., Wendt, G.A., Chandler, C.E., Ernst, R.K. and Goodlett, D.R. (2019) <doi:10.1021/acs.analchem.9b03340> "Model-based Spectral Library Approach for Bacterial Identification via Membrane Glycolipids." Gibb, S. and Strimmer, K. (2012) <doi:10.1093/bioinformatics/bts447> "MALDIquant: a versatile R package for the analysis of mass spectrometry data."

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2.40 score 5 stars 2 scripts 162 downloads

HCTR - Higher Criticism Tuned Regression

A novel searching scheme for tuning parameter in high-dimensional penalized regression. We propose a new estimate of the regularization parameter based on an estimated lower bound of the proportion of false null hypotheses (Meinshausen and Rice (2006) <doi:10.1214/009053605000000741>). The bound is estimated by applying the empirical null distribution of the higher criticism statistic, a second-level significance testing, which is constructed by dependent p-values from a multi-split regression and aggregation method (Jeng, Zhang and Tzeng (2019) <doi:10.1080/01621459.2018.1518236>). An estimate of tuning parameter in penalized regression is decided corresponding to the lower bound of the proportion of false null hypotheses. Different penalized regression methods are provided in the multi-split algorithm.

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2.40 score 5 stars 182 downloads

HPLB - High-Probability Lower Bounds for the Total Variance Distance

An implementation of high-probability lower bounds for the total variance distance as introduced in Michel & Naef & Meinshausen (2020) <arXiv:2005.06006>. An estimated lower-bound (with high-probability) on the total variation distance between two probability distributions from which samples are observed can be obtained with the function HPLB.

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2.40 score 5 stars 6 scripts 199 downloads

horseshoenlm - Nonlinear Regression using Horseshoe Prior

Provides the posterior estimates of the regression coefficients when horseshoe prior is specified. The regression models considered here are logistic model for binary response and log normal accelerated failure time model for right censored survival response. The linear model analysis is also available for completeness. All models provide deviance information criterion and widely applicable information criterion. See <doi:10.1111/rssc.12377> Maity et. al. (2019) <doi:10.1111/biom.13132> Maity et. al. (2020).

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2.40 score 5 stars 3 scripts 53 downloads

mergeTrees - Aggregating Trees

Aggregates a set of trees with the same leaves to create a consensus tree. The trees are typically obtained via hierarchical clustering, hence the hclust format is used to encode both the aggregated trees and the final consensus tree. The method is exact and proven to be O(nqlog(n)), n being the individuals and q being the number of trees to aggregate.

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2.40 score 5 stars 7 scripts 33 downloads

prevederer - Wrapper for the 'Prevedere' API

Easy and efficient access to the API provided by 'Prevedere', an industry insights and predictive analytics company. Query and download indicators, models and workbenches built with 'Prevedere' for further analysis and reporting <https://www.prevedere.com/>.

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2.40 score 5 stars 2 scripts 28 downloads

semmcmc - Bayesian Structural Equation Modeling in Multiple Omics Data Integration

Provides Markov Chain Monte Carlo (MCMC) routine for the structural equation modelling described in Maity et. al. (2020) <doi:10.1093/bioinformatics/btaa286>. This MCMC sampler is useful when one attempts to perform an integrative survival analysis for multiple platforms of the Omics data where the response is time to event and the predictors are different omics expressions for different platforms.

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2.40 score 5 stars 35 downloads

sahpm - Variable Selection using Simulated Annealing

Highest posterior model is widely accepted as a good model among available models. In terms of variable selection highest posterior model is often the true model. Our stochastic search process SAHPM based on simulated annealing maximization method tries to find the highest posterior model by maximizing the model space with respect to the posterior probabilities of the models. This package currently contains the SAHPM method only for linear models. The codes for GLM will be added in future.

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2.40 score 5 stars 100 downloads

pstest - Specification Tests for Parametric Propensity Score Models

The propensity score is one of the most widely used tools in studying the causal effect of a treatment, intervention, or policy. Given that the propensity score is usually unknown, it has to be estimated, implying that the reliability of many treatment effect estimators depends on the correct specification of the (parametric) propensity score. This package implements the data-driven nonparametric diagnostic tools for detecting propensity score misspecification proposed by Sant'Anna and Song (2019) <doi:10.1016/j.jeconom.2019.02.002>.

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2.40 score 5 stars 2 scripts 37 downloads

mccf1 - Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold

The MCC-F1 analysis is a method to evaluate the performance of binary classifications. The MCC-F1 curve is more reliable than the Receiver Operating Characteristic (ROC) curve and the Precision-Recall (PR)curve under imbalanced ground truth. The MCC-F1 analysis also provides the MCC-F1 metric that integrates classifier performance over varying thresholds, and the best threshold of binary classification.

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2.31 score 5 stars 41 scripts 196 downloads

rifle - Sparse Generalized Eigenvalue Problem

Implements the algorithms for solving sparse generalized eigenvalue problem by Tan, et. al. (2018). Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow. To appear in Journal of the Royal Statistical Society: Series B. <arXiv:1604.08697>.

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2.18 score 5 stars 1 dependents 10 scripts 153 downloads

LARF - Local Average Response Functions for Instrumental Variable Estimation of Treatment Effects

Provides instrumental variable estimation of treatment effects when both the endogenous treatment and its instrument are binary. Applicable to both binary and continuous outcomes.

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2.18 score 5 stars 1 dependents 6 scripts 584 downloads

LongituRF - Random Forests for Longitudinal Data

Random forests are a statistical learning method widely used in many areas of scientific research essentially for its ability to learn complex relationships between input and output variables and also its capacity to handle high-dimensional data. However, current random forests approaches are not flexible enough to handle longitudinal data. In this package, we propose a general approach of random forests for high-dimensional longitudinal data. It includes a flexible stochastic model which allows the covariance structure to vary over time. Furthermore, we introduce a new method which takes intra-individual covariance into consideration to build random forests. The method is fully detailled in Capitaine et.al. (2020) <doi:10.1177/0962280220946080> Random forests for high-dimensional longitudinal data.

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2.10 score 5 stars 25 scripts 284 downloads

JQL - Jump Q-Learning for Individualized Interval-Valued Dose Rule

We provide tools to estimate the individualized interval-valued dose rule (I2DR) that maximizes the expected beneficial clinical outcome for each individual and returns an optimal interval-valued dose, by using the jump Q-learning (JQL) method. The jump Q-learning method directly models the conditional mean of the response given the dose level and the baseline covariates via jump penalized least squares regression under the framework of Q learning. We develop a searching algorithm by dynamic programming in order to find the optimal I2DR with the time complexity O(n2) and spatial complexity O(n). To alleviate the effects of misspecification of the Q-function, a residual jump Q-learning is further proposed to estimate the optimal I2DR. The outcome of interest includes the best partition of the entire dosage of interest, the regression coefficients of each partition, and the value function under the estimated I2DR as well as the Wald-type confidence interval of value function constructed through the Bootstrap.

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2.00 score 5 stars 2 scripts 163 downloads

brlrmr - Bias Reduction with Missing Binary Response

Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.

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2.00 score 5 stars 2 scripts 53 downloads

ALTopt - Optimal Experimental Designs for Accelerated Life Testing

Creates the optimal (D, U and I) designs for the accelerated life testing with right censoring or interval censoring. It uses generalized linear model (GLM) approach to derive the asymptotic variance-covariance matrix of regression coefficients. The failure time distribution is assumed to follow Weibull distribution with a known shape parameter and log-linear link functions are used to model the relationship between failure time parameters and stress variables. The acceleration model may have multiple stress factors, although most ALTs involve only two or less stress factors. ALTopt package also provides several plotting functions including contour plot, Fraction of Use Space (FUS) plot and Variance Dispersion graphs of Use Space (VDUS) plot. For more details, see Seo and Pan (2015) <doi:10.32614/RJ-2015-029>.

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1.90 score 5 stars 16 scripts 265 downloads

SCMA - Single-Case Meta-Analysis

Perform meta-analysis of single-case experiments, including calculating various effect size measures (SMD, PND, PEM and NAP) and probability combining (additive and multiplicative method), as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.

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1.81 score 5 stars 13 scripts 237 downloads

saeMSPE - Computing MSPE Estimates in Small Area Estimation

Compute various common mean squared predictive error (MSPE) estimators, as well as several existing variance component predictors as a byproduct, for FH model (Fay and Herriot, 1979) and NER model (Battese et al., 1988) in small area estimation.

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archivedpackagesr-universeopenblascppopenmp

1.78 score 5 stars 12 scripts 215 downloads

variosig - Testing Spatial Dependence Using Empirical Variogram

Applying Monte Carlo permutation to generate pointwise variogram envelope and checking for spatial dependence at different scales using permutation test. Empirical Brown's method and Fisher's method are used to compute overall p-value for hypothesis test.

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1.78 score 5 stars 12 scripts 181 downloads

groupICA - Independent Component Analysis for Grouped Data

Contains an implementation of an independent component analysis (ICA) for grouped data. The main function groupICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding for user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website <https://sweichwald.de/groupICA/>.

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1.70 score 5 stars 2 scripts 150 downloads

BLRPM - Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse Model

Due to a limited availability of observed high-resolution precipitation records with adequate length, simulations with stochastic precipitation models are used to generate series for subsequent studies [e.g. Khaliq and Cunmae, 1996, <doi:10.1016/0022-1694(95)02894-3>, Vandenberghe et al., 2011, <doi:10.1029/2009WR008388>]. This package contains an R implementation of the original Bartlett-Lewis rectangular pulse model (BLRPM), developed by Rodriguez-Iturbe et al. (1987) <doi:10.1098/rspa.1987.0039>. It contains a function for simulating a precipitation time series based on storms and cells generated by the model with given or estimated model parameters. Additionally BLRPM parameters can be estimated from a given or simulated precipitation time series. The model simulations can be plotted in a three-layer plot including an overview of generated storms and cells by the model (which can also be plotted individually), a continuous step-function and a discrete precipitation time series at a chosen aggregation level.

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1.70 score 5 stars 8 scripts 211 downloads

LPRelevance - Relevance-Integrated Statistical Inference Engine

Provide methods to perform customized inference at individual level by taking contextual covariates into account. Three main functions are provided in this package: (i) LASER(): it generates specially-designed artificial relevant samples for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii) rEB.proc(): performs empirical Bayes inference based on LASERs. The details can be found in Mukhopadhyay, S., and Wang, K (2021, <arXiv:2004.09588>).

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1.70 score 5 stars 168 downloads

ACSSpack - ACSS, Corresponding INSS, and GLP Algorithms

Allow user to run the Adaptive Correlated Spike and Slab (ACSS) algorithm, corresponding INdependent Spike and Slab (INSS) algorithm, and Giannone, Lenza and Primiceri (GLP) algorithm with adaptive burn-in. All of the three algorithms are used to fit high dimensional data set with either sparse structure, or dense structure with smaller contributions from all predictors. The state-of-the-art GLP algorithm is in Giannone, D., Lenza, M., & Primiceri, G. E. (2021, ISBN:978-92-899-4542-4) "Economic predictions with big data: The illusion of sparsity". The two new algorithms, ACSS algorithm and INSS algorithm, and the discussion on their performance can be seen in Yang, Z., Khare, K., & Michailidis, G. (2024, submitted to Journal of Business & Economic Statistics) "Bayesian methodology for adaptive sparsity and shrinkage in regression".

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archivedpackagesr-universeopenblascppopenmp

1.70 score 5 stars 208 downloads

FuncMap - Hive Plots of R Package Function Calls

Analyzes the function calls in an R package and creates a hive plot of the calls, dividing them among functions that only make outgoing calls (sources), functions that have only incoming calls (sinks), and those that have both incoming calls and make outgoing calls (managers). Function calls can be mapped by their absolute numbers, their normalized absolute numbers, or their rank. FuncMap should be useful for comparing packages at a high level for their overall design. Plus, it's just plain fun. The hive plot concept was developed by Martin Krzywinski (www.hiveplot.com) and inspired this package. Note: this package is maintained for historical reasons. HiveR is a full package for creating hive plots.

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1.70 score 5 stars 3 scripts 186 downloads

rTLsDeep - Post-Hurricane Damage Severity Classification from TLS and AI

Terrestrial laser scanning (TLS) data processing and post-hurricane damage severity classification at the individual tree level using deep Learning. Further details were published in Klauberg et al. (2023) <doi:10.3390/rs15041165>.

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1.70 score 5 stars 218 downloads

GDILM.SEIRS - Spatial Modeling of Infectious Disease with Reinfection

Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.

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1.70 score 5 stars 1 scripts 181 downloads

KMT - Khmaladze Martingale Transformation Goodness-of-Fit Test

Consider a goodness-of-fit problem of testing whether a random sample comes from one sample location-scale model where location and scale parameters are unknown. It is well known that Khmaladze-martingale-transformation method proposed by Khmaladze (1981) <doi:10.1137/1126027> provides asymptotic distribution free test. This package provides test statistic and critical value of the test for normal, Cauchy, and logistic distributions. This package used the main algorithm proposed by Kim (2020) <doi:10.1007/s00180-020-00971-7> and tests for other distributions will be available at the later version.

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1.70 score 5 stars 196 downloads

SMITIDstruct - Data Structure and Manipulations Tool for Host and Viral Population

Statistical Methods for Inferring Transmissions of Infectious Diseases from deep sequencing data (SMITID). It allow sequence-space-time host and viral population data storage, indexation and querying.

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archivedpackagesr-universe

1.70 score 5 stars 1 scripts 180 downloads

GoogleImage2Array - Create Array Data from 2D Image Thumbnails via Google Image Search

Images are provided as an array dataset of 2D image thumbnails from Google Image Search <https://www.google.com/search>. This array data may be suitable for a training data of machine learning or deep learning as a first trial.

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archivedpackagesr-universe

1.70 score 5 stars 1 scripts 192 downloads

l1ball - L1-Ball Prior for Sparse Regression

Provides function for the l1-ball prior on high-dimensional regression. The main function, l1ball(), yields posterior samples for linear regression, as introduced by Xu and Duan (2020) <arXiv:2006.01340>.

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archivedpackagesr-universe

1.70 score 5 stars 194 downloads

lsdbc - Locally Scaled Density Based Clustering

Implementation of Locally Scaled Density Based Clustering (LSDBC) algorithm proposed by Bicici and Yuret (2007) <doi:10.1007/978-3-540-71618-1_82>. This package also contains some supporting functions such as betaCV() function and get_spectral() function.

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archivedpackagesr-universe

1.70 score 5 stars 153 downloads

modgetxl - A 'shiny' Module for Reading Excel Sheets

This is a shiny module that presents a file picker user interface to get an Excel file name, and reads the Excel sheets using 'readxl' package and returns the resulting sheet(s) as a vector and data in dataframe(s).

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archivedpackagesr-universe

1.70 score 5 stars 4 scripts 172 downloads

pcalls - Pricing of Different Types of Call

Compute the price of different types of call using different methods. The types available are Vanilla European Calls, Vanilla American Calls and American Digital Calls. Available methods are Montecarlo Simulation, Montecarlo Simulation with Antithetic Variates, Black-Scholes and the Binary Tree.

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archivedpackagesr-universe

1.70 score 5 stars 138 downloads

softclassval - Soft Classification Performance Measures

An extension of sensitivity, specificity, positive and negative predictive value to continuous predicted and reference memberships in [0, 1].

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1.70 score 5 stars 8 scripts 577 downloads

RMPSH - Recursive Modified Pattern Search on Hyper-Rectangle

Optimization of any Black-Box/Non-Convex Function on Hyper-Rectangular Parameter Space. It uses a Variation of Pattern Search Technique. Described in the paper : Das (2016) <arXiv:1604.08616> .

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archivedpackagesr-universecpp

1.70 score 5 stars 5 scripts 152 downloads

SCVA - Single-Case Visual Analysis

Make graphical representations of single case data and transform graphical displays back to raw data, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.

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archivedpackagesr-universe

1.70 score 5 stars 7 scripts 255 downloads

Rosenbrock - Extended Rosenbrock-Type Densities for Markov Chain Monte Carlo (MCMC) Sampler Benchmarking

New Markov chain Monte Carlo (MCMC) samplers new to be thoroughly tested and their performance accurately assessed. This requires densities that offer challenging properties to the novel sampling algorithms. One such popular problem is the Rosenbrock function. However, while its shape lends itself well to a benchmark problem, no codified multivariate expansion of the density exists. We have developed an extension to this class of distributions and supplied densities and direct sampler functions to assess the performance of novel MCMC algorithms. The functions are introduced in "An n-dimensional Rosenbrock Distribution for MCMC Testing" by Pagani, Wiegand and Nadarajah (2019) <arXiv:1903.09556>.

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archivedpackagesr-universe

1.70 score 5 stars 1 scripts 173 downloads

RankAggregator - Aggregation of (Partial) Ordinal Rankings

Easily compute an aggregate ranking (also called a median ranking or a consensus ranking) according to the axiomatic approach presented by Cook et al. (2007). This approach minimises the number of violations between all candidate consensus rankings and all input (partial) rankings, and draws on a branch and bound algorithm and a heuristic algorithm to drastically improve speed. The package also provides an option to bootstrap a consensus ranking based on resampling input rankings (with replacement). Input rankings can be either incomplete (partial) or complete. Reference: Cook, W.D., Golany, B., Penn, M. and Raviv, T. (2007) <doi:10.1016/j.cor.2005.05.030>.

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archivedpackagesr-universe

1.70 score 5 stars 180 downloads

hettreatreg - Heterogeneous Treatment Effects in Regression Analysis

Computes diagnostics for linear regression when treatment effects are heterogeneous. The output of 'hettreatreg' represents ordinary least squares (OLS) estimates of the effect of a binary treatment as a weighted average of the average treatment effect on the treated (ATT) and the average treatment effect on the untreated (ATU). The program estimates the OLS weights on these parameters, computes the associated model diagnostics, and reports the implicit OLS estimate of the average treatment effect (ATE). See Sloczynski (2019), <http://people.brandeis.edu/~tslocz/Sloczynski_paper_regression.pdf>.

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archivedpackagesr-universe

1.70 score 5 stars 8 scripts 144 downloads

cspec - Complete Discrete Fourier Transform (DFT) and Periodogram

Calculate the predictive discrete Fourier transform, complete discrete Fourier transform, complete periodogram, and tapered complete periodogram. This algorithm is based on the preprint "Spectral methods for small sample time series: A complete periodogram approach" (2020) by Sourav Das, Suhasini Subba Rao, and Junho Yang.

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archivedpackagesr-universe

1.70 score 5 stars 1 scripts 192 downloads

bgsmtr - Bayesian Group Sparse Multi-Task Regression

Implementation of Bayesian multi-task regression models and was developed within the context of imaging genetics. The package can currently fit two models. The Bayesian group sparse multi-task regression model of Greenlaw et al. (2017)<doi:10.1093/bioinformatics/btx215> can be fit with implementation using Gibbs sampling. An extension of this model developed by Song, Ge et al. to accommodate both spatial correlation as well as correlation across brain hemispheres can also be fit using either mean-field variational Bayes or Gibbs sampling. The model can also be used more generally for multivariate (non-imaging) phenotypes with spatial correlation.

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1.70 score 5 stars 6 scripts 253 downloads

CorBin - Generate High-Dimensional Binary Data with Correlation Structures

We design algorithms with linear time complexity with respect to the dimension for three commonly studied correlation structures, including exchangeable, decaying-product and K-dependent correlation structures, and extend the algorithms to generate binary data of general non-negative correlation matrices with quadratic time complexity. Jiang, W., Song, S., Hou, L. and Zhao, H. "A set of efficient methods to generate high-dimensional binary data with specified correlation structures." The American Statistician. See <doi:10.1080/00031305.2020.1816213> for a detailed presentation of the method.

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1.70 score 5 stars 9 scripts 195 downloads

BayesBEKK - Bayesian Estimation of Bivariate Volatility Model

The Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) models are used for modelling the volatile multivariate data sets. In this package a variant of MGARCH called BEKK (Baba, Engle, Kraft, Kroner) proposed by Engle and Kroner (1995) <http://www.jstor.org/stable/3532933> has been used to estimate the bivariate time series data using Bayesian technique.

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archivedpackagesr-universe

1.70 score 5 stars 228 downloads

ELMSO - Implementation of the Efficient Large-Scale Online Display Advertising Algorithm

An implementation of the algorithm described in "Efficient Large- Scale Internet Media Selection Optimization for Online Display Advertising" by Paulson, Luo, and James (Journal of Marketing Research 2018; see URL below for journal text/citation and <http://faculty.marshall.usc.edu/gareth-james/Research/ELMSO.pdf> for a full-text version of the paper). The algorithm here is designed to allocate budget across a set of online advertising opportunities using a coordinate-descent approach, but it can be used in any resource-allocation problem with a matrix of visitation (in the case of the paper, website page- views) and channels (in the paper, websites). The package contains allocation functions both in the presence of bidding, when allocation is dependent on channel-specific cost curves, and when advertising costs are fixed at each channel.

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archivedpackagesr-universe

1.70 score 5 stars 4 scripts 147 downloads

BayesARIMAX - Bayesian Estimation of ARIMAX Model

The Autoregressive Integrated Moving Average (ARIMA) model is very popular univariate time series model. Its application has been widened by the incorporation of exogenous variable(s) (X) in the model and modified as ARIMAX by Bierens (1987) <doi:10.1016/0304-4076(87)90086-8>. In this package we estimate the ARIMAX model using Bayesian framework.

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archivedpackagesr-universe

1.70 score 5 stars 1 scripts 326 downloads

CoxR2 - R-Squared Measure Based on Partial LR Statistic, for the Cox PH Regression Model

Calculate the R-squared, aka explained randomness, based on the partial likelihood ratio statistic under the Cox Proportional Hazard model [J O'Quigley, R Xu, J Stare (2005) <doi:10.1002/sim.1946>].

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archivedpackagesr-universe

1.70 score 5 stars 7 scripts 234 downloads

FinePop2 - Fine-Scale Population Analysis (Rewrite for Gene-Trait-Environment Interaction Analysis)

Statistical tool set for population genetics. The package provides following functions: 1) estimators of genetic differentiation (FST), 2) regression analysis of environmental effects on genetic differentiation using generalized least squares (GLS) method, 3) interfaces to read and manipulate 'GENEPOP' format data files). For more information, see Kitada, Nakamichi and Kishino (2020) <doi:10.1101/2020.01.30.927186>.

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archivedpackagesr-universe

1.70 score 5 stars 1 scripts 169 downloads

EBPRS - Derive Polygenic Risk Score Based on Emprical Bayes Theory

EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2. See Song et al. (2020) <doi:10.1371/journal.pcbi.1007565> for a detailed presentation of the method.

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archivedpackagesr-universe

1.70 score 5 stars 10 scripts 207 downloads

AutoWeatherIndices - Calculating Weather Indices

Weather indices are formed from weather variables in this package. The users can input any number of weather variables recorded over any number of weeks. This package has no restriction on the number of weeks and weather variables to be taken as input.The details of the method can be seen (i)'Joint effects of weather variables on rice yields' by R. Agrawal, R. C. Jain and M. P. Jha in Mausam, vol. 34, pp. 189-194, 1983,<doi:10.54302/mausam.v34i2.2392>,(ii)'Improved weather indices based Bayesian regression model for forecasting crop yield' by M. Yeasin, K. N. Singh, A. Lama and B. Gurung in Mausam, vol. 72, pp.879-886, 2021,<doi:10.54302/mausam.v72i4.670>.

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archivedpackagesr-universe

1.70 score 5 stars 207 downloads

flightplot - Plotting Flight Paths on Maps

Provides functionality to plot airplane flight paths on maps. The plotted flight paths follow the great circle of the Earth.

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archivedpackagesr-universe

1.70 score 5 stars 3 scripts 180 downloads

rlmDataDriven - Robust Regression with Data Driven Tuning Parameter

Data driven approach for robust regression estimation in homoscedastic and heteroscedastic context. See Wang et al. (2007), <doi:10.1198/106186007X180156> regarding homoscedastic framework.

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archivedpackagesr-universe

1.70 score 5 stars 6 scripts 44 downloads

multiMarker - Latent Variable Model to Infer Food Intake from Multiple Biomarkers

A latent variable model based on factor analytic and mixture of experts models, designed to infer food intake from multiple biomarkers data. The model is framed within a Bayesian hierarchical framework, which provides flexibility to adapt to different biomarker distributions and facilitates inference on food intake from biomarker data alone, along with the associated uncertainty. Details are in D'Angelo, et al. (2020) <arXiv:2006.02995>.

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archivedpackagesr-universe

1.70 score 5 stars 61 downloads

spaceNet - Latent Space Models for Multidimensional Networks

Latent space models for multivariate networks (multiplex) estimated via MCMC algorithm. See D Angelo et al. (2018) <arXiv:1803.07166> and D Angelo et al. (2018) <arXiv:1807.03874>.

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1.70 score 5 stars 6 scripts 37 downloads