Package: BayesARIMAX 0.1.1

Achal Lama

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.

Authors:Achal Lama [aut, cre], Kn Singh [aut], Bishal Gurung [aut]

BayesARIMAX_0.1.1.tar.gz
BayesARIMAX_0.1.1.zip(r-4.7)BayesARIMAX_0.1.1.zip(r-4.6)BayesARIMAX_0.1.1.zip(r-4.5)
BayesARIMAX_0.1.1.tgz(r-4.6-any)BayesARIMAX_0.1.1.tgz(r-4.5-any)
BayesARIMAX_0.1.1.tar.gz(r-4.7-any)BayesARIMAX_0.1.1.tar.gz(r-4.6-any)
BayesARIMAX_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesARIMAX/json (API)

# Install 'BayesARIMAX' in R:
install.packages('BayesARIMAX', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 1 scripts 326 downloads 1 exports 32 dependencies

Last updated from:9986e8f585 (on package/BayesARIMAX). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK152
source / vignettesOK146
linux-release-x86_64OK126
macos-release-arm64OK111
macos-oldrel-arm64OK141
windows-develOK90
windows-releaseOK79
windows-oldrelOK75
wasm-releaseOK99

Exports:BayesARIMAX

Dependencies:clicodacolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo