Package: RandomForestsGLS
Type: Package
Title: Random Forests for Dependent Data
Version: 0.1.5
Authors@R: c(person("Arkajyoti", "Saha", role=c("aut", "cre"), email="arkajyotisaha93@gmail.com"), person("Sumanta", "Basu", role="aut", email="sumbose@cornell.edu"), person("Abhirup", "Datta", role="aut", email="abhidatta@jhu.edu"))
Maintainer: Arkajyoti Saha <arkajyotisaha93@gmail.com>
Author: Arkajyoti Saha [aut, cre], Sumanta Basu [aut], Abhirup Datta
        [aut]
Depends: R (>= 3.3.0)
Imports: BRISC, parallel, stats, matrixStats, randomForest, pbapply
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 2.1.0)
Description: 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>.
License: GPL (>= 2)
URL: https://github.com/ArkajyotiSaha/RandomForestsGLS
BugReports: https://github.com/ArkajyotiSaha/RandomForestsGLS/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-26 09:20:52 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2024-10-03 03:00:09 UTC
RemoteUrl: https://github.com/cran/RandomForestsGLS
RemoteRef: HEAD
RemoteSha: f6250910b528c4434bc12266c484f27b0506211a