twitteR - R Based Twitter Client

Provides an interface to the Twitter web API.

Last updated 1 months ago

archivedpackagesr-universe

6.13 score 5 stars 1 dependents 2.0k scripts 500 downloads

DataFakeR - Generate Fake Data for Relational Databases

Based on provided database description and/or database connection generate data sample preserving source structure.

Last updated 1 days ago

archivedpackagesr-universe

4.24 score 5 stars 249 downloads

shiny.info - 'shiny' Info

Displays simple diagnostic information of the 'shiny' project in the user interface of the app.

Last updated 1 days ago

archivedpackagesr-universe

2.70 score 5 stars 180 downloads

prism - Access Data from the Oregon State Prism Climate Project

Allows users to access the Oregon State Prism climate data (<https://prism.nacse.org/>). Using the web service API data can easily downloaded in bulk and loaded into R for spatial analysis. Some user friendly visualizations are also provided.

Last updated 3 days ago

archivedpackagesr-universe

4.40 score 5 stars 610 downloads

flowTraceR - Tracing Information Flow for Inter-Software Comparisons in Mass Spectrometry-Based Bottom-Up Proteomics

Useful functions to standardize software outputs from ProteomeDiscoverer, Spectronaut, DIA-NN and MaxQuant on precursor, modified peptide and proteingroup level and to trace software differences for identifications such as varying proteingroup denotations for common precursor.

Last updated 14 days ago

archivedpackagesr-universe

4.35 score 5 stars 1 dependents 282 downloads

scDHA - Single-Cell Decomposition using Hierarchical Autoencoder

Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).

Last updated 9 days ago

archivedpackagesr-universecpp

4.18 score 5 stars 2 dependents 264 downloads

brokenstick - Broken Stick Model for Irregular Longitudinal Data

Data on multiple individuals through time are often sampled at times that differ between persons. Irregular observation times can severely complicate the statistical analysis of the data. The broken stick model approximates each subject’s trajectory by one or more connected line segments. The times at which segments connect (breakpoints) are identical for all subjects and under control of the user. A well-fitting broken stick model effectively transforms individual measurements made at irregular times into regular trajectories with common observation times. Specification of the model requires three variables: time, measurement and subject. The model is a special case of the linear mixed model, with time as a linear B-spline and subject as the grouping factor. The main assumptions are: subjects are exchangeable, trajectories between consecutive breakpoints are straight, random effects follow a multivariate normal distribution, and unobserved data are missing at random. The package contains functions for fitting the broken stick model to data, for predicting curves in new data and for plotting broken stick estimates. The package supports two optimization methods, and includes options to structure the variance-covariance matrix of the random effects. The analyst may use the software to smooth growth curves by a series of connected straight lines, to align irregularly observed curves to a common time grid, to create synthetic curves at a user-specified set of breakpoints, to estimate the time-to-time correlation matrix and to predict future observations. See <doi:10.18637/jss.v106.i07> for additional documentation on background, methodology and applications.

Last updated 2 days ago

archivedpackagesr-universe

4.00 score 5 stars 352 downloads

greatR - Gene Registration from Expression and Time-Courses in R

A tool for registering (aligning) gene expression profiles between reference and query data.

Last updated 4 days ago

archivedpackagesr-universe

4.00 score 5 stars 284 downloads

mpwR - Standardized Comparison of Workflows in Mass Spectrometry-Based Bottom-Up Proteomics

Useful functions to analyze proteomic workflows including number of identifications, data completeness, missed cleavages, quantitative and retention time precision etc. Various software outputs are supported such as 'ProteomeDiscoverer', 'Spectronaut', 'DIA-NN' and 'MaxQuant'.

Last updated 14 days ago

archivedpackagesr-universe

4.00 score 5 stars 292 downloads

spectralGraphTopology - Learning Graphs from Data via Spectral Constraints

In the era of big data and hyperconnectivity, learning high-dimensional structures such as graphs from data has become a prominent task in machine learning and has found applications in many fields such as finance, health care, and networks. 'spectralGraphTopology' is an open source, documented, and well-tested R package for learning graphs from data. It provides implementations of state of the art algorithms such as Combinatorial Graph Laplacian Learning (CGL), Spectral Graph Learning (SGL), Graph Estimation based on Majorization-Minimization (GLE-MM), and Graph Estimation based on Alternating Direction Method of Multipliers (GLE-ADMM). In addition, graph learning has been widely employed for clustering, where specific algorithms are available in the literature. To this end, we provide an implementation of the Constrained Laplacian Rank (CLR) algorithm.

Last updated 23 days ago

archivedpackagesr-universeopenblascpp

3.88 score 5 stars 1 dependents 852 downloads

nestedmodels - Tidy Modelling for Nested Data

A modelling framework for nested data using the 'tidymodels' ecosystem. Specify how to nest data using the 'recipes' package, create testing and training splits using 'rsample', and fit models to this data using the 'parsnip' and 'workflows' packages. Allows any model to be fit to nested data.

Last updated 2 days ago

archivedpackagesr-universe

3.70 score 5 stars 657 downloads

MOCHA - Modeling for Single-Cell Open Chromatin Analysis

A statistical framework and analysis tool for open chromatin analysis designed specifically for single cell ATAC-seq (Assay for Transposase-Accessible Chromatin) data, after cell type/cluster identification. These novel modules remove unwanted technical variation, identify open chromatin, robustly models repeated measures in single cell data, implement advanced statistical frameworks to model zero-inflation for differential and co-accessibility analyses, and integrate with existing databases and modules for downstream analyses to reveal biological insights. MOCHA provides a statistical foundation for complex downstream analysis to help advance the potential of single cell ATAC-seq for applied studies. Methods for zero-inflated statistics are as described in: Ghazanfar, S., Lin, Y., Su, X. et al. (2020) <doi:10.1038/s41592-020-0885-x>. Pimentel, Ronald Silva, "Kendall's Tau and Spearman's Rho for Zero-Inflated Data" (2009) <https://scholarworks.wmich.edu/dissertations/721/>.

Last updated 3 days ago

archivedpackagesr-universe

3.70 score 5 stars 192 downloads

webqueue - Multicore HTTP Server

Distributes HTTP requests among a pool of background R processes. Supports timeouts and interrupts of requests to ensure that CPU cores are utilized effectively.

Last updated 6 days ago

archivedpackagesr-universe

3.70 score 5 stars 12 downloads

OwenQ - Owen Q-Function

Evaluates the Owen Q-function for an integer value of the degrees of freedom, by applying Owen's algorithm (1965) <doi:10.1093/biomet/52.3-4.437>. It is useful for the calculation of the power of equivalence tests.

Last updated 1 months ago

archivedpackagesr-universecpp

3.70 score 5 stars 10 scripts 168 downloads

DDoutlier - Distance & Density-Based Outlier Detection

Outlier detection in multidimensional domains. Implementation of notable distance and density-based outlier algorithms. Allows users to identify local outliers by comparing observations to their nearest neighbors, reverse nearest neighbors, shared neighbors or natural neighbors. For distance-based approaches, see Knorr, M., & Ng, R. T. (1997) <doi:10.1145/782010.782021>, Angiulli, F., & Pizzuti, C. (2002) <doi:10.1007/3-540-45681-3_2>, Hautamaki, V., & Ismo, K. (2004) <doi:10.1109/ICPR.2004.1334558> and Zhang, K., Hutter, M. & Jin, H. (2009) <doi:10.1007/978-3-642-01307-2_84>. For density-based approaches, see Tang, J., Chen, Z., Fu, A. W. C., & Cheung, D. W. (2002) <doi:10.1007/3-540-47887-6_53>, Jin, W., Tung, A. K. H., Han, J., & Wang, W. (2006) <doi:10.1007/11731139_68>, Schubert, E., Zimek, A. & Kriegel, H-P. (2014) <doi:10.1137/1.9781611973440.63>, Latecki, L., Lazarevic, A. & Prokrajac, D. (2007) <doi:10.1007/978-3-540-73499-4_6>, Papadimitriou, S., Gibbons, P. B., & Faloutsos, C. (2003) <doi:10.1109/ICDE.2003.1260802>, Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000) <doi:10.1145/342009.335388>, Kriegel, H.-P., Kröger, P., Schubert, E., & Zimek, A. (2009) <doi:10.1145/1645953.1646195>, Zhu, Q., Feng, Ji. & Huang, J. (2016) <doi:10.1016/j.patrec.2016.05.007>, Huang, J., Zhu, Q., Yang, L. & Feng, J. (2015) <doi:10.1016/j.knosys.2015.10.014>, Tang, B. & Haibo, He. (2017) <doi:10.1016/j.neucom.2017.02.039> and Gao, J., Hu, W., Zhang, X. & Wu, Ou. (2011) <doi:10.1007/978-3-642-20847-8_23>.

Last updated 1 months ago

archivedpackagesr-universe

3.62 score 5 stars 1 dependents 56 scripts 63 downloads

mr.raps - Two Sample Mendelian Randomization using Robust Adjusted Profile Score

Mendelian randomization is a method of identifying and estimating a confounded causal effect using genetic instrumental variables. This packages implements methods for two-sample Mendelian randomization with summary statistics by using Robust Adjusted Profile Score (RAPS). References: Qingyuan Zhao, Jingshu Wang, Jack Bowden, Dylan S. Small. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. <arXiv:1801.09652>.

Last updated 22 days ago

archivedpackagesr-universe

3.53 score 5 stars 2 dependents 2.2k downloads

tableschema.r - Table Schema 'Frictionless Data'

Allows to work with 'Table Schema' (<https://specs.frictionlessdata.io/table-schema/>). 'Table Schema' is well suited for use cases around handling and validating tabular data in text formats such as 'csv', but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format. The 'tableschema.r' package can load and validate any table schema descriptor, allow the creation and modification of descriptors, expose methods for reading and streaming data that conforms to a 'Table Schema' via the 'Tabular Data Resource' abstraction.

Last updated 30 days ago

archivedpackagesr-universe

3.40 score 5 stars 101 scripts 184 downloads

torchaudio - R Interface to 'pytorch''s 'torchaudio'

Provides access to datasets, models and processing facilities for deep learning in audio.

Last updated 2 days ago

archivedpackagesr-universe

3.40 score 5 stars 203 downloads

scCAN - Single-Cell Clustering using Autoencoder and Network Fusion

A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') Bang Tran (2022) <doi:10.1038/s41598-022-14218-6> for segregating the cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines the optimal number of clusters and then partitions the cells in a way such that the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows, Linux, and Mac OS.

Last updated 9 days ago

archivedpackagesr-universe

3.40 score 5 stars 540 downloads

MicroSEC - Sequence Error Filter for Formalin-Fixed and Paraffin-Embedded Samples

Clinical sequencing of tumor is usually performed on formalin-fixed and paraffin-embedded samples and have many sequencing errors. We found that the majority of these errors are detected in chimeric read caused by single-strand DNA with micro-homology. Our filtering pipeline focuses on the uneven distribution of the artifacts in each read and removes such errors in formalin-fixed and paraffin-embedded samples without over-eliminating the true mutations detected in fresh frozen samples.

Last updated 10 days ago

archivedpackagesr-universe

3.40 score 5 stars 182 downloads

polyhedralCubature - Multiple Integration over Convex Polyhedra

Evaluation of multiple integrals over convex polyhedra. This is useful when the bounds of the integrals are some linear combinations of the variables.

Last updated 11 days ago

archivedpackagesr-universe

3.40 score 5 stars 198 downloads

tern.rbmi - Create Interface for 'RBMI' and 'tern'

'RBMI' implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). This package provides an interface for 'RBMI' uses the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023).

Last updated 12 days ago

archivedpackagesr-universe

3.40 score 5 stars 258 downloads

mapping - Automatic Download, Linking, Manipulating Coordinates for Maps

Maps are an important tool to visualise variables distribution across different spatial objects. The mapping process requires to link the data with coordinates and then generate the correspondent map. This package provide coordinates, linking and mapping functions for an automatic, flexible and easy approach of external functions. The package provides an easy, flexible and automatic unit. Geographical coordinates are provided in the package and automatically linked with the input data to generate maps with internal provided functions or external functions. Provide an easy, flexible and automatic approach to potentially download updated coordinates, to link statistical units with coordinates and to aggregate variables based on the spatial hierarchy of units. The object returned from the package can be used for thematic maps with the build-in functions provided in mapping or with other packages already available.

Last updated 14 days ago

archivedpackagesr-universe

3.40 score 5 stars 351 downloads

rock - Reproducible Open Coding Kit

The Reproducible Open Coding Kit ('ROCK', and this package, 'rock') was developed to facilitate reproducible and open coding, specifically geared towards qualitative research methods. Although it is a general-purpose toolkit, three specific applications have been implemented, specifically an interface to the 'rENA' package that implements Epistemic Network Analysis ('ENA'), means to process notes from Cognitive Interviews ('CIs'), and means to work with decentralized construct taxonomies ('DCTs'). The 'ROCK' and this 'rock' package are described in the ROCK book <https://rockbook.org> and more information, such as tutorials, is available at <https://rock.science>.

Last updated 14 days ago

archivedpackagesr-universe

3.40 score 5 stars 425 downloads

STRMPS - Analysis of Short Tandem Repeat (STR) Massively Parallel Sequencing (MPS) Data

Loading, identifying, aggregating, manipulating, and analysing short tandem repeat regions of massively parallel sequencing data in forensic genetics. The analyses and framework implemented in this package relies on the papers of Vilsen et al. (2017) <doi:10.1016/j.fsigen.2017.01.017> and Vilsen et al. (2018) <doi:10.1016/j.fsigen.2018.04.003>. Note: that the parallelisation in the package relies on mclapply() and, thus, speed-ups will only be seen on UNIX based systems.

Last updated 16 days ago

biostringspwalignshortreadirangesarchivedpackagesr-universe

3.40 score 5 stars 232 downloads

finreportr - Financial Data from U.S. Securities and Exchange Commission

Download and display company financial data from the U.S. Securities and Exchange Commission's EDGAR database. It contains a suite of functions with web scraping and XBRL parsing capabilities that allows users to extract data from EDGAR in an automated and scalable manner. See <https://www.sec.gov/edgar/searchedgar/companysearch.html> for more information.

Last updated 17 days ago

archivedpackagesr-universe

3.40 score 5 stars 411 downloads

Pandora - Retrieve Data using the API of the 'Pandora' Data Platform

API wrapper that contains functions to retrieve data from the 'Pandora' databases. Web services for API: <https://pandora.earth/>.

Last updated 1 months ago

archivedpackagesr-universe

3.40 score 5 stars 2 scripts 49 downloads

MALDIcellassay - Automated MALDI Cell Assays Using Dose-Response Curve Fitting

Conduct automated cell-based assays using Matrix-Assisted Laser Desorption/Ionization (MALDI) methods for high-throughput screening of signals responsive to treatments. The package efficiently identifies high variance signals and fits dose-response curves to them. Quality metrics such as Z', V', log2FC, and CRS are provided for evaluating the potential of signals as biomarkers. The methodologies were introduced by Weigt et al. (2018) <doi:10.1038/s41598-018-29677-z> and refined by Unger et al. (2021) <doi:10.1038/s41596-021-00624-z>.

Last updated 1 months ago

archivedpackagesr-universe

3.40 score 5 stars 9 scripts 29 downloads

TwitterAutomatedTrading - Automated Trading Using Tweets

Provides an integration to the 'metatrader 5'. The functionalities carry out automated trading using sentiment indexes computed from 'twitter' and/or 'stockwits'. The sentiment indexes are based on the ph.d. dissertation "Essays on Economic Forecasting Models" (Godeiro,2018) <https://repositorio.ufpb.br/jspui/handle/123456789/15198> The integration between the 'R' and the 'metatrader 5' allows sending buy/sell orders to the brokerage.

Last updated 1 months ago

archivedpackagesr-universe

3.40 score 5 stars 4 scripts 34 downloads

TukeyC - Conventional Tukey Test

Perform the conventional Tukey test from formula, lm, aov, aovlist and lmer objects.

Last updated 16 days ago

archivedpackagesr-universe

3.24 score 5 stars 599 downloads

PResiduals - Probability-Scale Residuals and Residual Correlations

Computes probability-scale residuals and residual correlations for continuous, ordinal, binary, count, and time-to-event data <doi:10.18637/jss.v094.i12>.

Last updated 28 days ago

archivedpackagesr-universe

3.22 score 5 stars 67 scripts 408 downloads

figpatch - Easily Arrange External Figures with Patchwork Alongside 'ggplot2' Figures

For including external figures into an assembled {patchwork}. This enables the creation of more complex figures that include images alongside plots.

Last updated 1 months ago

archivedpackagesr-universe

3.18 score 5 stars 61 scripts 64 downloads

clinDataReview - Clinical Data Review Tool

Creation of interactive tables, listings and figures ('TLFs') and associated report for exploratory analysis of data in a clinical trial, e.g. for clinical oversight activities. Interactive figures include sunburst, treemap, scatterplot, line plot and barplot of counts data. Interactive tables include table of summary statistics (as counts of adverse events, enrollment table) and listings. Possibility to compare data (summary table or listing) across two data batches/sets. A clinical data review report is created via study-specific configuration files and template 'R Markdown' reports contained in the package.

Last updated 15 days ago

archivedpackagesr-universe

3.18 score 5 stars 678 downloads

D4TAlink.light - FAIR Data - Workflow Management

Tools, methods and processes for the management of analysis workflows. These lightweight solutions facilitate structuring R&D activities. These solutions were developed to comply with Good Documentation Practice (GDP), with FAIR principles as discussed by Jacobsen et al. (2017) <doi:10.1162/dint_r_00024>, and with ALCOA+ principles as proposed by the U.S. FDA.

Last updated 13 days ago

archivedpackagesr-universe

3.00 score 5 stars 344 downloads

tabulate - Pretty Console Output for Tables

Generates pretty console output for tables allowing for full customization of cell colors, font type, borders and many others attributes. It also supports 'multibyte' characters and nested tables.

Last updated 3 days ago

archivedpackagesr-universecpp

2.92 score 5 stars 3.4k downloads

tessellation - Delaunay and Voronoï Tessellations

Delaunay and Voronoï tessellations, with emphasis on the two-dimensional and the three-dimensional cases (the package provides functions to plot the tessellations for these cases). Delaunay tessellations are computed in C with the help of the 'Qhull' library <http://www.qhull.org/>.

Last updated 11 days ago

archivedpackagesr-universe

2.88 score 5 stars 1 dependents 256 downloads

miWQS - Multiple Imputation Using Weighted Quantile Sum Regression

The miWQS package handles the uncertainty due to below the detection limit in a correlated component mixture problem. Researchers want to determine if a set/mixture of continuous and correlated components/chemicals is associated with an outcome and if so, which components are important in that mixture. These components share a common outcome but are interval-censored between zero and low thresholds, or detection limits, that may be different across the components. This package applies the multiple imputation (MI) procedure to the weighted quantile sum regression (WQS) methodology for continuous, binary, or count outcomes (Hargarten & Wheeler (2020) <doi:10.1016/j.envres.2020.109466>). The imputation models are: bootstrapping imputation (Lubin et.al (2004) <doi:10.1289/ehp.7199>), univariate Bayesian imputation (Hargarten & Wheeler (2020) <doi:10.1016/j.envres.2020.109466>), and multivariate Bayesian regression imputation.

Last updated 2 days ago

archivedpackagesr-universe

2.70 score 5 stars 245 downloads

marlod - Marginal Modeling for Exposure Data with Values Below the LOD

Functions of marginal mean and quantile regression models are used to analyze environmental exposure and biomonitoring data with repeated measurements and non-detects (i.e., values below the limit of detection (LOD)), as well as longitudinal exposure data that include non-detects and time-dependent covariates.

Last updated 2 days ago

archivedpackagesr-universe

2.70 score 5 stars 181 downloads

kmeRs - K-Mers Similarity Score Matrix and HeatMap

Similarity Score Matrix and HeatMap for nucleic and amino acid k-mers. Similarity score is evaluated by Point Accepted Mutation (PAM) and BLOcks SUbstitution Matrix (BLOSUM). The 30, 40, 70, 120, 250 and 62, 45, 50, 62, 80, 100 matrix versions are available for PAM and BLOSUM, respectively. Alignment is evaluated by local and global alignment.

Last updated 14 days ago

softwarearchivedpackagesr-universe

2.70 score 5 stars 192 downloads

hddplot - Use Known Groups in High-Dimensional Data to Derive Scores for Plots

Cross-validated linear discriminant calculations determine the optimum number of features. Test and training scores from successive cross-validation steps determine, via a principal components calculation, a low-dimensional global space onto which test scores are projected, in order to plot them. Further functions are included that are intended for didactic use. The package implements, and extends, methods described in J.H. Maindonald and C.J. Burden (2005) <https://journal.austms.org.au/V46/CTAC2004/Main/home.html>.

Last updated 14 days ago

archivedpackagesr-universe

2.70 score 5 stars 366 downloads

TEAM - Multiple Hypothesis Testing on an Aggregation Tree Method

An implementation of the TEAM algorithm to identify local differences between two (e.g. case and control) independent, univariate distributions, as described in J Pura, C Chan, and J Xie (2019) <arXiv:1906.07757>. The algorithm is based on embedding a multiple-testing procedure on a hierarchical structure to identify high-resolution differences between two distributions. The hierarchical structure is designed to identify strong, short-range differences at lower layers and weaker, but long-range differences at increasing layers. TEAM yields consistent layer-specific and overall false discovery rate control.

Last updated 15 days ago

archivedpackagesr-universe

2.70 score 5 stars 128 downloads

TT - Display Tree Structured Data using Datatable Widget (DT)

Wrapper of datatable widget, allowing display of data.tree objects. All arguments of the data.tree become columns and each node is a row. Adds column with buttons allowing folding and unfolding the levels.

Last updated 15 days ago

archivedpackagesr-universe

2.70 score 5 stars 179 downloads

varycoef - Modeling Spatially Varying Coefficients

Implements a maximum likelihood estimation (MLE) method for estimation and prediction of Gaussian process-based spatially varying coefficient (SVC) models (Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>). Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can be applied such that the method scales to large data. Further, it implements a joint variable selection of the fixed and random effects (Dambon et al. (2021b) <doi:10.1080/13658816.2022.2097684>). The package and its capabilities are described in (Dambon et al. (2021c) <arXiv:2106.02364>).

Last updated 18 days ago

archivedpackagesr-universe

2.70 score 5 stars 259 downloads

nbfar - Negative Binomial Factor Regression Models ('nbfar')

We developed a negative binomial factor regression model to estimate structured (sparse) associations between a feature matrix X and overdispersed count data Y. With 'nbfar', microbiome count data Y can be used, for example, to associate host or environmental covariates with microbial abundances. Currently, two models are available: a) Negative Binomial reduced rank regression (NB-RRR), b) Negative Binomial co-sparse factor regression (NB-FAR). Please refer the manuscript 'Mishra, A. K., & Müller, C. L. (2021). Negative Binomial factor regression with application to microbiome data analysis. bioRxiv.' for more details.

Last updated 23 days ago

archivedpackagesr-universeopenblascpp

2.70 score 5 stars 169 downloads

mbest - Moment-Based Estimation for Hierarchical Models

Fast moment-based hierarchical model fitting. Implements methods from the papers "Fast Moment-Based Estimation for Hierarchical Models," by Perry (2017) and "Fitting a Deeply Nested Hierarchical Model to a Large Book Review Dataset Using a Moment-Based Estimator," by Zhang, Schmaus, and Perry (2018).

Last updated 13 days ago

archivedpackagesr-universe

2.48 score 5 stars 2 dependents 844 downloads

rflashtext - FlashText Algorithm for Finding and Replacing Words

Implementation of the FlashText algorithm, by Singh (2017) <arXiv:1711.00046>. It can be used to find and replace words in a given text with only one pass over the document.

Last updated 3 days ago

archivedpackagesr-universecpp

2.40 score 5 stars 129 downloads

jsonStrings - Manipulation of JSON Strings

Fast manipulation of JSON strings. Allows to extract or delete an element in a JSON string, merge two JSON strings, and more.

Last updated 3 days ago

archivedpackagesr-universecpp

2.40 score 5 stars 178 downloads

datasailr - Row by Row Data Processing Tool, Using 'DataSailr' Script

A row by row data processing tool. You can write data processing code in 'DataSailr' script which is specially intended for data manipulation. The package uses 'libsailr' (C/C++ library) for its 'DataSailr' code parsing and its execution.

Last updated 3 days ago

archivedpackagesr-universecpp

2.40 score 5 stars 291 downloads

noegletalR - Tidy Tibbles of Noegletal

Work with data from <https://noegletal.dk> in a tidy manner. Tidy up previously downloaded data or retrieve new data directly from the comfort of R. You can also browse an up-to-date list of available data, including thorough variable descriptions.

Last updated 6 days ago

archivedpackagesr-universe

2.40 score 5 stars 131 downloads

rehydratoR - Downloads Tweets from a List of Tweet IDs

Facilitates replication of Twitter-based research by handling common programming tasks needed when downloading tweets. Specifically, it ensures a user does not exceed Twitter’s rate limits, and it saves tweets in moderately sized files. While a user could perform these tasks in their own code, doing so may be beyond the capabilities of many users.

Last updated 10 days ago

archivedpackagesr-universe

2.40 score 5 stars 146 downloads

tidyformula - Build Formulas Using Tidy Selection Helpers

Provides the function 'tidyformula()', which translates formulas containing 'tidyselect'-style selection helpers. It expands these helpers by evaluating 'dplyr::select()' with the relevant selection helper and a supplied data frame. The package contains methods for traversing abstract syntax trees from Wickham, Hadley (2019) <doi:10.1201/9781351201315>.

Last updated 14 days ago

archivedpackagesr-universe

2.40 score 5 stars 193 downloads

marp - Model-Averaged Renewal Process

To implement a model-averaging approach with different renewal models, with a primary focus on forecasting large earthquakes. Based on six renewal models (i.e., Poisson, Gamma, Log-Logistics, Weibull, Log-Normal and BPT), model-averaged point estimates are calculated using AIC (or BIC) weights. Additionally, both percentile and studentized bootstrapped model-averaged confidence intervals are constructed. In comparison, point and interval estimation from the individual or "best" model (determined via model selection) can be retrieved.

Last updated 21 days ago

archivedpackagesr-universe

2.40 score 5 stars 184 downloads

rllama - Access and Analyze Data from 'DeFiLlama'

Provides an interface to access and analyze data from 'DeFiLlama'<https://defillama.com>. This package simplifies the process of fetching and manipulating 'DeFiLlama' data for further analysis and visualization.

Last updated 22 days ago

archivedpackagesr-universe

2.40 score 5 stars 265 downloads

finbipartite - Learning Bipartite Graphs: Heavy Tails and Multiple Components

Learning bipartite and k-component bipartite graphs from financial datasets. This package contains implementations of the algorithms described in the paper: Cardoso JVM, Ying J, and Palomar DP (2022). <https://openreview.net/pdf?id=WNSyF9qZaMd> "Learning bipartite graphs: heavy tails and multiple components, Advances in Neural Informations Processing Systems" (NeurIPS).

Last updated 23 days ago

archivedpackagesr-universe

2.40 score 5 stars 206 downloads

fingraph - Learning Graphs for Financial Markets

Learning graphs for financial markets with optimization algorithms. This package contains implementations of the algorithms described in the paper: Cardoso JVM, Ying J, and Palomar DP (2021) <https://papers.nips.cc/paper/2021/hash/a64a034c3cb8eac64eb46ea474902797-Abstract.html> "Learning graphs in heavy-tailed markets", Advances in Neural Informations Processing Systems (NeurIPS).

Last updated 23 days ago

archivedpackagesr-universe

2.40 score 5 stars 192 downloads

washex - Washington State Legislative Explorer

Gets data from the Washington State Legislature.

Last updated 28 days ago

archivedpackagesr-universe

2.40 score 5 stars 2 scripts 192 downloads

dataclass - Easily Create Structured Lists or Data Frames with Input Validation

Easily define templates for lists and data frames that validate each element. Specify the expected type (i.e., character, numeric, etc), expected length, minimum and maximum values, allowable values, and more for each element in your data. Decide whether violations of these expectations should throw an error or a warning. This package is useful for validating data within R processes which pull from dynamic data sources such as databases and web APIs to provide an extra layer of validation around input and output data.

Last updated 1 months ago

archivedpackagesr-universe

2.40 score 5 stars 1 scripts 131 downloads

squat - Statistics for Quaternion Temporal Data

An implementation of statistical tools for the analysis of rotation-valued time series and functional data. It relies on pre-existing quaternion data structure provided by the 'Eigen' 'C++' library.

Last updated 1 months ago

archivedpackagesr-universecppopenmp

2.40 score 5 stars 6 scripts 78 downloads

XBRL - Extraction of Business Financial Information from 'XBRL' Documents

Functions to extract business financial information from an Extensible Business Reporting Language ('XBRL') instance file and the associated collection of files that defines its 'Discoverable' Taxonomy Set ('DTS').

Last updated 17 days ago

archivedpackagesr-universelibxml2cpp

2.18 score 5 stars 1 dependents 448 downloads

multinet - Analysis and mining of multilayer social networks

Functions for the creation/generation and analysis of multilayer social networks <doi:10.18637/jss.v098.i08>.

Last updated 3 days ago

archivedpackagesr-universecpp

2.06 score 5 stars 1.1k downloads

ScRNAIMM - Performing Single-Cell RNA-Seq Imputation by Using Mean/Median Imputation

Performing single-cell imputation in a way that preserves the biological variations in the data. The package clusters the input data to do imputation for each cluster, and do a distribution check using the Anderson-Darling normality test to impute dropouts using mean or median (Yazici, B., & Yolacan, S. (2007) <DOI:10.1080/10629360600678310>).

Last updated 9 days ago

archivedpackagesr-universe

1.70 score 5 stars 161 downloads

TukeyRegion - Tukey Region and Median

Tukey regions are polytopes in the Euclidean space, viz. upper-level sets of the Tukey depth function on given data. The bordering hyperplanes of a Tukey region are computed as well as its vertices, facets, centroid, and volume. In addition, the Tukey median set, which is the non-empty Tukey region having highest depth level, and its barycenter (= Tukey median) are calculated. Tukey regions are visualized in dimension two and three. For details see Liu, Mosler, and Mozharovskyi (2019, <doi:10.1080/10618600.2018.1546595>). See file LICENSE.note for additional license information.

Last updated 11 days ago

archivedpackagesr-universecpp

1.70 score 5 stars 268 downloads

ohtadstats - Tomoka Ohta D Statistics

Calculate's Tomoka Ohta's partitioning of linkage disequilibrium, deemed D-statistics, for pairs of loci. Petrowski et al. (2019) <doi:10.5334/jors.250>.

Last updated 14 days ago

archivedpackagesr-universe

1.70 score 5 stars 263 downloads

ormBigData - Fitting Semiparametric Cumulative Probability Models for Big Data

A big data version for fitting cumulative probability models using the orm() function. See Liu et al. (2017) <DOI:10.1002/sim.7433> for details.

Last updated 28 days ago

archivedpackagesr-universe

1.70 score 5 stars 175 downloads

fastQR - Fast QR Decomposition and Update

Efficient algorithms for performing, updating, and downdating the QR decomposition, R decomposition, or the inverse of the R decomposition of a matrix as rows or columns are added or removed. It also includes functions for solving linear systems of equations, normal equations for linear regression models, and normal equations for linear regression with a RIDGE penalty. For a detailed introduction to these methods, see the book by Golub and Van Loan (2013, <doi:10.1007/978-3-319-05089-8>) for complete introduction to the methods.

Last updated 1 months ago

archivedpackagesr-universecpp

1.70 score 5 stars 4 scripts 38 downloads

Statsomat - Shiny Apps for Automated Data Analysis and Automated Interpretation

Shiny apps for automated data analysis, annotated outputs and human-readable interpretation in natural language. Designed especially for learners and applied researchers. Currently available methods: EDA, EDA with Python, Correlation Analysis, Principal Components Analysis, Confirmatory Factor Analysis.

Last updated 1 months ago

archivedpackagesr-universe

1.70 score 5 stars 6 scripts 86 downloads