R package for ensemble partial least squares regression, a unified framework for feature selection, outlier detection, and ensemble learning.
Version: | 1.0 |
Imports: | pls, foreach, doParallel |
Suggests: | knitr |
Published: | 2014-10-03 |
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 |
CRAN checks: | enpls results |
Reference manual: | enpls.pdf |
Vignettes: |
enpls: R Package for Ensemble Partial Least Squares Regression |
Package source: | enpls_1.0.tar.gz |
Windows binaries: | r-devel: enpls_1.0.zip, r-release: enpls_1.0.zip, r-oldrel: enpls_1.0.zip |
OS X Snow Leopard binaries: | r-release: enpls_1.0.tgz, r-oldrel: enpls_1.0.tgz |
OS X Mavericks binaries: | r-release: enpls_1.0.tgz |