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RandomForestsGLS: Random Forests for Dependent Data

Fits non-linear regression models on dependant data with Generalised Least Square (GLS) based Random Forest (RF-GLS) detailed in Saha, Basu and Datta (2021) <doi:10.1080/01621459.2021.1950003>.

Version:0.1.5
Depends:R (≥ 3.3.0)
Imports:BRISC, parallel, stats,matrixStats,randomForest,pbapply
Suggests:knitr,rmarkdown,ggplot2,testthat (≥ 2.1.0)
Published:2024-10-02
DOI:10.32614/CRAN.package.RandomForestsGLS
Author:Arkajyoti Saha [aut, cre], Sumanta Basu [aut], Abhirup Datta [aut]
Maintainer:Arkajyoti Saha <arkajyotisaha93 at gmail.com>
BugReports:https://github.com/ArkajyotiSaha/RandomForestsGLS/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/ArkajyotiSaha/RandomForestsGLS
NeedsCompilation:yes
In views:Spatial
CRAN checks:RandomForestsGLS results

Documentation:

Reference manual:RandomForestsGLS.html ,RandomForestsGLS.pdf
Vignettes:How to use RandomForestsGLS (source,R code)

Downloads:

Package source: RandomForestsGLS_0.1.5.tar.gz
Windows binaries: r-devel:RandomForestsGLS_0.1.5.zip, r-release:RandomForestsGLS_0.1.5.zip, r-oldrel:RandomForestsGLS_0.1.5.zip
macOS binaries: r-release (arm64):RandomForestsGLS_0.1.5.tgz, r-oldrel (arm64):RandomForestsGLS_0.1.5.tgz, r-release (x86_64):RandomForestsGLS_0.1.5.tgz, r-oldrel (x86_64):RandomForestsGLS_0.1.5.tgz
Old sources: RandomForestsGLS archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RandomForestsGLSto link to this page.


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