Package: aorsf
Title: Accelerated Oblique Random Forests
Version: 0.1.6
Authors@R: c(
    person("Byron", "Jaeger", , "byron.jaeger@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-7399-2299")),
    person("Nicholas", "Pajewski", role = "ctb"),
    person("Sawyer", "Welden", , "swelden@wakehealth.edu", role = "ctb"),
    person("Christopher", "Jackson", , "chris.jackson@mrc-bsu.cam.ac.uk", role = "rev"),
    person("Marvin", "Wright", role = "rev"),
    person("Lukas", "Burk", role = "rev")
  )
Description: Fit, interpret, and compute predictions with oblique
        random forests. Includes support for partial dependence,
        variable importance, passing customized functions for variable
        importance and identification of linear combinations of
        features. Methods for the oblique random survival forest are
        described in Jaeger et al., (2023)
        <DOI:10.1080/10618600.2023.2231048>.
License: MIT + file LICENSE
URL: https://github.com/ropensci/aorsf,
        https://docs.ropensci.org/aorsf/
BugReports: https://github.com/ropensci/aorsf/issues/
Depends: R (>= 3.6)
Imports: collapse, data.table, lifecycle, R6, Rcpp, utils
Suggests: covr, ggplot2, glmnet, knitr, rmarkdown, survival,
        SurvMetrics, testthat (>= 3.0.0), tibble, units
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-10-28 10:00:17 UTC; root
Author: Byron Jaeger [aut, cre] (ORCID:
        <https://orcid.org/0000-0001-7399-2299>), Nicholas Pajewski
        [ctb], Sawyer Welden [ctb], Christopher Jackson [rev], Marvin
        Wright [rev], Lukas Burk [rev]
Maintainer: Byron Jaeger <byron.jaeger@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-12-11 15:50:08 UTC
RemoteUrl: https://github.com/cran/aorsf
RemoteRef: HEAD
RemoteSha: 606f45a0238155cf67329340e2d953d2de2765b9