chujiluo/BartMixVs: Variable Selection Using Bayesian Additive Regression Trees

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.

Getting started

Package details

AuthorChuji Luo [aut, cre], Michael J. Daniels [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb]
MaintainerChuji Luo <cjluo@ufl.edu>
LicenseGPL (>= 2)
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("chujiluo/BartMixVs")
chujiluo/BartMixVs documentation built on May 9, 2022, 1:58 p.m.