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>.
| Version: |
0.1.4 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
BRISC, parallel, stats, matrixStats, randomForest, pbapply |
| Suggests: |
knitr, rmarkdown, ggplot2, testthat (≥ 2.1.0) |
| Published: |
2022-04-28 |
| 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 |
| CRAN checks: |
RandomForestsGLS results |