Package: ranktreeEnsemble
Type: Package
Title: Ensemble Models of Rank-Based Trees with Extracted Decision
        Rules
Version: 0.24
Date: 2025-09-12
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: 2025-09-14 03:15:41 UTC; minlu
Repository: CRAN
Date/Publication: 2025-09-14 03:40:02 UTC
Author: Ruijie Yin [aut],
  Chen Ye [aut],
  Min Lu [aut, cre] (ORCID: <https://orcid.org/0000-0002-1386-1315>)
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 13:19:02 UTC; unix
Archs: ranktreeEnsemble.so.dSYM
