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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
Browse package contents
Package details |
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| Author | Chuji Luo [aut, cre], Michael J. Daniels [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb] |
| Maintainer | Chuji Luo <cjluo@ufl.edu> |
| License | GPL (>= 2) |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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