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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RandomForestsGLS to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4