enpls: Ensemble Partial Least Squares Regression

An algorithmic framework for measuring feature importance, outlier detection, and ensemble modeling based on (sparse) partial least squares regressions.

Version: 3.0
Depends: R (≥ 3.0.2)
Imports: pls, spls, foreach, doParallel, ggplot2, reshape2
Suggests: knitr, rmarkdown
Published: 2016-06-29
Author: Nan Xiao, Dong-Sheng Cao, Miao-Zhu Li, 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: http://enpls.org
NeedsCompilation: no
Materials: README NEWS
In views: ChemPhys
CRAN checks: enpls results

Downloads:

Reference manual: enpls.pdf
Vignettes: An Introduction to the enpls Package
Package source: enpls_3.0.tar.gz
Windows binaries: r-devel: enpls_3.0.zip, r-release: enpls_3.0.zip, r-oldrel: enpls_3.0.zip
OS X Mavericks binaries: r-release: enpls_3.0.tgz, r-oldrel: enpls_3.0.tgz
Old sources: enpls archive