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 |
| CRAN checks: | enpls results |
| 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 |