Package: obliqueRSF
Title: Oblique Random Forests for Right-Censored Time-to-Event Data
Version: 0.1.2
Authors@R: person("Byron", "Jaeger", email = "bjaeger@wakehealth.edu", role = c("aut", "cre"))
Description: Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 <DOI:10.1214/08-AOAS169>). Regularized Cox proportional hazard models (Simon, 2016 <DOI:10.18637/jss.v039.i05>) are used to identify optimal linear combinations of input variables. 
Depends: R (>= 3.5.0)
Imports: Rcpp, pec, data.table, stats, missForest, purrr, glmnet,
        survival, dplyr, rlang, prodlim, ggthemes, tidyr, ggplot2,
        scales
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 7.2.1
NeedsCompilation: yes
Packaged: 2022-08-28 20:00:15 UTC; bjaeger
Author: Byron Jaeger [aut, cre]
Maintainer: Byron Jaeger <bjaeger@wakehealth.edu>
Repository: CRAN
Date/Publication: 2022-08-28 20:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-02 17:30:43 UTC; unix
Archs: obliqueRSF.so.dSYM
