Package: RandomForestsGLS
Type: Package
Title: Random Forests for Dependent Data
Version: 0.1.4
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 (2020) <arXiv:2007.15421>.
License: GPL (>= 2)
URL: https://github.com/ArkajyotiSaha/RandomForestsGLS
BugReports: https://github.com/ArkajyotiSaha/RandomForestsGLS/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-04-28 07:49:33 UTC; asaha
Repository: CRAN
Date/Publication: 2022-04-28 13:30:08 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 15:35:00 UTC; windows
Archs: i386, x64
