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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Repository: https://ropensci.r-universe.dev
Date/Publication: 2026-02-05 18:44:09 UTC
RemoteUrl: https://github.com/ropensci/aorsf
RemoteRef: main
RemoteSha: 085db7062d995eeafa4e210481d66af2eb02b8dc
NeedsCompilation: yes
Packaged: 2026-07-01 08:17:22 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>