DESCRIPTION

Package: enpls
Type: Package
Title: Ensemble Partial Least Squares Regression
Version: 6.1
Authors@R: c(
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0250-5673")),
    person("Dong-Sheng", "Cao", role = c("aut")),
    person("Miao-Zhu", "Li", email = "miaozhu.li@duke.edu", role = c("aut")),
    person("Qing-Song", "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: https://nanx.me/enpls/, https://github.com/nanxstats/enpls
BugReports: https://github.com/nanxstats/enpls/issues
Depends:
    R (>= 3.0.2)
LazyData: TRUE
VignetteBuilder: knitr
Imports:
    pls,
    spls,
    foreach,
    doParallel,
    ggplot2,
    reshape2,
    plotly
Suggests:
    knitr,
    rmarkdown
Encoding: UTF-8
RoxygenNote: 7.1.2