enpls: Ensemble Partial Least Squares Regression
An algorithmic framework for measuring feature importance,
outlier detection, model applicability domain evaluation,
and ensemble predictive modeling with (sparse)
partial least squares regressions.
Version: |
6.1 |
Depends: |
R (≥ 3.0.2) |
Imports: |
pls, spls, foreach, doParallel, ggplot2, reshape2, plotly |
Suggests: |
knitr, rmarkdown |
Published: |
2019-05-18 |
DOI: |
10.32614/CRAN.package.enpls |
Author: |
Nan Xiao [aut,
cre],
Dong-Sheng Cao [aut],
Miao-Zhu Li [aut],
Qing-Song Xu [aut] |
Maintainer: |
Nan Xiao <me at nanx.me> |
BugReports: |
https://github.com/nanxstats/enpls/issues |
License: |
GPL-3 | file LICENSE |
URL: |
https://nanx.me/enpls/, https://github.com/nanxstats/enpls |
NeedsCompilation: |
no |
Materials: |
README NEWS |
In views: |
ChemPhys |
CRAN checks: |
enpls results |
Documentation:
Downloads:
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