Package: BartMixVs
Type: Package
Title: Variable Selection Using Bayesian Additive Regression Trees
Version: 1.0.0
Date: 2022-05-02
Authors@R: c(person('Chuji', 'Luo', role=c('aut', 'cre'), 
  email='cjluo@ufl.edu'),
  person('Michael J.', 'Daniels', role='aut'),
  person('Robert', 'McCulloch', role='ctb'),
  person('Rodney', 'Sparapani', role='ctb'))
Author: Chuji Luo [aut, cre],
  Michael J. Daniels [aut],
  Robert McCulloch [ctb],
  Rodney Sparapani [ctb]
Maintainer: Chuji Luo <cjluo@ufl.edu>
Description: Bayesian additive regression trees (BART) provides flexible non-parametric modeling of mixed-type predictors for continuous and binary responses. This package is built upon CRAN R package 'BART', version 2.7 (<https://github.com/cran/BART>). It implements the three proposed variable selection approaches in the paper: Luo, C and Daniels, M. J. (2021), "Variable Selection Using Bayesian Additive Regression Trees." <arXiv:2112.13998>, and other three existing BART-based variable selection approaches.
License: GPL (>= 2)
Depends: R (>= 2.10), nlme, nnet
Imports: Rcpp (>= 1.0.6), loo, mvtnorm
LinkingTo: Rcpp
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-05-03 21:45:27 UTC; luochuji
Repository: CRAN
Date/Publication: 2022-05-05 05:50:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 14:21:37 UTC; windows
Archs: i386, x64
