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: 2025-12-08 15:35:45 UTC; byron
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: CRAN
Date/Publication: 2025-12-11 15:50:08 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2025-12-27 02:21:18 UTC; windows
Archs: x64
