Package: ODRF 0.0.4.9002

ODRF: Oblique Decision Random Forest for Classification and Regression

The oblique decision tree (ODT) uses linear combinations of predictors as partitioning variables in a decision tree. Oblique Decision Random Forest (ODRF) is an ensemble of multiple ODTs generated by feature bagging. Oblique Decision Boosting Tree (ODBT) applies feature bagging during the training process of ODT-based boosting trees to ensemble multiple boosting trees. All three methods can be used for classification and regression, and ODT and ODRF serve as supplements to the classical CART of Breiman (1984) <doi:10.1201/9781315139470> and Random Forest of Breiman (2001) <doi:10.1023/A:1010933404324> respectively.

Authors:Yu Liu [aut, cre, cph], Yingcun Xia [aut]

ODRF_0.0.4.9002.tar.gz
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ODRF.pdf |ODRF.html
ODRF/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/liuyu-star/odrf/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

    On CRAN:

    5.70 score 7 stars 18 scripts 192 downloads 17 exports 26 dependencies

    Last updated 28 days agofrom:863dfa0b0b. Checks:OK: 1 NOTE: 8. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKOct 09 2024
    R-4.5-win-x86_64NOTEOct 09 2024
    R-4.5-linux-x86_64NOTEOct 09 2024
    R-4.4-win-x86_64NOTEOct 09 2024
    R-4.4-mac-x86_64NOTEOct 09 2024
    R-4.4-mac-aarch64NOTEOct 09 2024
    R-4.3-win-x86_64NOTEOct 09 2024
    R-4.3-mac-x86_64NOTEOct 09 2024
    R-4.3-mac-aarch64NOTEOct 09 2024

    Exports:%>%Accuracybest.cut.nodedefaultsODBTODRFODTonlineplot_ODT_depthPPOpruneRandRotRotMatMakeRotMatPPORotMatRandRotMatRFVarImp

    Dependencies:clicodetoolsdoParallelforeachFormulaglmnetglueinumiteratorslatticelibcoinlifecyclemagrittrMASSMatrixmvtnormnnetpartykitPursuitRcppRcppArmadilloRcppEigenrlangrpartshapesurvival

    Oblique Decision Random Forest for Classification and Regression

    Rendered fromOblique-Decision-Random-Forest.Rmdusingknitr::rmarkdownon Oct 09 2024.

    Last update: 2023-02-27
    Started: 2023-01-15