DESCRIPTION

Package: kappaRule
Type: Package
Title: Implementation of the ruleFit algorithm by Friedman and Popescue
Version: 0.1.0
Authors@R: c(person("Sebastian", "Rauschert",
    email = "Sebastian.Rauschert@telethonkids.org.au", role = c("aut", "cre")))
Maintainer: Sebastian Rauschert <Sebastian.Rauschert@telethonkids.org.au>
Description: This model is a fast and parallel implementation of the RuleFit algorithm based on the work by Friedman
    and Popescu (Friedman JH, Popescu BE. Predictive learning via rule ensembles. The Annals of Applied Statistics. 2008;2(3):916-54.).
License: GPL-3 + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports:
   ranger,
   glmnet,
   doMC,
   doParallel,
   parallel,
   foreach,
   tidyverse,
   data.table,
   caret,
   tidypredict,
   progress,
   stringr,
   dplyr,
   magrittr,
   plyr,
   iterators,
   lattice,
   grid,
   ggplot2,
   rmarkdown,
   knitr,
   plotly,
   DT,
   pander,
   lubridate,
   pROC,
   tidyr,
   tidyselect (>= 1.1.0)
RoxygenNote: 7.1.1