Package: enpls
Type: Package
Title: Ensemble Partial Least Squares Regression
Version: 5.7
Authors@R: c(
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre")),
    person("Dongsheng", "Cao", role = c("aut")),
    person("Miaozhu", "Li", email = "miaozhu.li@duke.edu", role = c("aut")),
    person("Qingsong", "Xu", email = "qsxu@csu.edu.cn", role = c("aut"))
    )
Maintainer: Nan Xiao <me@nanx.me>
Description: An algorithmic framework for measuring feature importance,
    outlier detection, model applicability domain evaluation,
    and ensemble predictive modeling with (sparse)
    partial least squares regressions.
License: GPL-3 | file LICENSE
URL: http://enpls.org, https://github.com/road2stat/enpls
BugReports: https://github.com/road2stat/enpls/issues
Depends: R (>= 3.0.2)
LazyData: TRUE
VignetteBuilder: knitr
Imports: pls, spls, foreach, doParallel, ggplot2, reshape2, plotly
Suggests: knitr, rmarkdown
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-01-05 04:30:22 UTC; jimmy
Author: Nan Xiao [aut, cre],
  Dongsheng Cao [aut],
  Miaozhu Li [aut],
  Qingsong Xu [aut]
Repository: CRAN
Date/Publication: 2017-01-05 10:39:33
