Package: enpls
Type: Package
Title: Ensemble Partial Least Squares Regression
Version: 4.0
Author: Nan Xiao <me@nanx.me>, Dong-Sheng Cao <oriental-cds@163.com>,
    Miao-Zhu Li <miaozhu.li@duke.edu>, Qing-Song Xu <qsxu@csu.edu.cn>
Maintainer: Nan Xiao <me@nanx.me>
Description: An algorithmic framework for measuring feature importance, outlier detection, and ensemble modeling based on (sparse) partial least squares regressions.
License: GPL (>= 2)
URL: http://enpls.org
BugReports: https://github.com/road2stat/enpls/issues
Depends: R (>= 3.0.2)
LazyData: yes
VignetteBuilder: knitr
Imports: pls, spls, foreach, doParallel, ggplot2, reshape2
Suggests: knitr, rmarkdown
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-29 13:34:02 UTC; jimmy
Repository: CRAN
Date/Publication: 2016-08-29 17:44:26
