Package: ranktreeEnsemble
Type: Package
Title: Ensemble Models of Rank-Based Trees with Extracted Decision
        Rules
Version: 0.21
Date: 2023-08-03
Authors@R: c(
    person("Ruijie", "Yin", role = "aut"),
    person("Chen", "Ye", role = "aut"),
    person("Min", "Lu", , "luminwin@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-1386-1315")))
Maintainer: Min Lu <luminwin@gmail.com>
BugReports: https://github.com/TransBioInfoLab/ranktreeEnsemble/issues/
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.10),randomForestSRC,gbm,methods,data.tree
LinkingTo: Rcpp
Description: Fast computing an ensemble of rank-based trees via
        boosting or random forest on binary and multi-class problems.
        It converts continuous gene expression profiles into ranked
        gene pairs, for which the variable importance indices are
        computed and adopted for dimension reduction. Decision rules
        can be extracted from trees.
URL: https://github.com/TransBioInfoLab/ranktreeEnsemble/
LazyData: TRUE
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2026-07-16 07:51:38 UTC; root
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libx11-dev
Repository: https://transbioinfolab.r-universe.dev
Date/Publication: 2024-05-24 00:39:17 UTC
RemoteUrl: https://github.com/transbioinfolab/ranktreeensemble
RemoteRef: HEAD
RemoteSha: 277784d67bf80e946ce29865a69c9e9cd7f42f39
Author: Ruijie Yin [aut],
  Chen Ye [aut],
  Min Lu [aut, cre] (ORCID: <https://orcid.org/0000-0002-1386-1315>)