Ensemble partial least squares regression, a unified framework for feature selection, outlier detection, and ensemble learning.
| Version: | 1.1 |
| Imports: | pls, foreach, doParallel |
| Suggests: | knitr |
| Published: | 2015-11-27 |
| Author: | Nan Xiao, Dong-Sheng Cao, Qing-Song Xu |
| Maintainer: | Nan Xiao <road2stat at gmail.com> |
| BugReports: | https://github.com/road2stat/enpls/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/road2stat/enpls |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | enpls results |
| Reference manual: | enpls.pdf |
| Vignettes: |
enpls: R Package for Ensemble Partial Least Squares Regression |
| Package source: | enpls_1.1.tar.gz |
| Windows binaries: | r-devel: enpls_1.1.zip, r-release: enpls_1.1.zip, r-oldrel: enpls_1.1.zip |
| OS X Snow Leopard binaries: | r-release: enpls_1.1.tgz, r-oldrel: enpls_1.0.tgz |
| OS X Mavericks binaries: | r-release: enpls_1.1.tgz |
| Old sources: | enpls archive |