Package: ranktreeEnsemble 0.21

Min Lu

ranktreeEnsemble: Ensemble Models of Rank-Based Trees with Extracted Decision Rules

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.

Authors:Ruijie Yin [aut], Chen Ye [aut], Min Lu [aut, cre]

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ranktreeEnsemble.pdf |ranktreeEnsemble.html
ranktreeEnsemble/json (API)

# Install 'ranktreeEnsemble' in R:
install.packages('ranktreeEnsemble', repos = c('https://transbioinfolab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/transbioinfolab/ranktreeensemble/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • tnbc - Gene expression profiles in triple-negative breast cancer cell

On CRAN:

Conda:

cpp

2.70 score 4 scripts 220 downloads 7 exports 71 dependencies

Last updated 10 months agofrom:277784d67b. Checks:1 OK, 11 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-win-x86_64WARNINGMar 12 2025
R-4.5-mac-x86_64WARNINGMar 12 2025
R-4.5-mac-aarch64WARNINGMar 12 2025
R-4.5-linux-x86_64WARNINGMar 12 2025
R-4.4-win-x86_64WARNINGMar 12 2025
R-4.4-mac-x86_64WARNINGMar 12 2025
R-4.4-mac-aarch64WARNINGMar 12 2025
R-4.4-linux-x86_64WARNINGMar 12 2025
R-4.3-win-x86_64WARNINGMar 12 2025
R-4.3-mac-x86_64WARNINGMar 12 2025
R-4.3-mac-aarch64WARNINGMar 12 2025

Exports:extract.rulesimportancepairpredictrboostrforestselect.rules

Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayondata.treeDiagrammeRdigestdplyrevaluatefansifarverfastmapfontawesomefsgbmgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6randomForestSRCrappdirsRColorBrewerRcppreadrrlangrmarkdownrstudioapisassscalesstringistringrsurvivaltibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml