Type: Package
Package: ODRF
Title: Oblique Decision Random Forest for Classification and Regression
Version: 0.0.5
Authors@R: c(
    person("Yu", "Liu", , "liuyuchina123@gmail.com", role = c("aut", "cre", "cph")),
    person("Yingcun", "Xia", , "staxyc@nus.edu.sg", role = "aut")
  )
Author: Yu Liu [aut, cre, cph], Yingcun Xia [aut]
Maintainer: Yu Liu <liuyuchina123@gmail.com>
Description: 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.
License: GPL (>= 3)
URL: https://liuyu-star.github.io/ODRF/
BugReports: https://github.com/liuyu-star/ODRF/issues
Depends: partykit, R (>= 3.5.0)
Imports: doParallel, foreach, glue, graphics, grid, lifecycle,
        magrittr, nnet, parallel, Pursuit, Rcpp, rlang (>= 0.4.11),
        stats, rpart, methods, glmnet
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: yes
NeedsCompilation: yes
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Repository: https://liuyu-star.r-universe.dev
Date/Publication: 2025-04-28 08:21:28 UTC
RemoteUrl: https://github.com/liuyu-star/odrf
RemoteRef: HEAD
RemoteSha: f385242840f44179fcfb07541a1518de776761c2
Packaged: 2026-09-24 08:30:50 UTC; root