doi:10.1111/rssb.12293>, with the optional use of a sparsity-inducing prior to allow for variable selection. For usability, the package maintains the same style as the 'BayesTree' package.">

SoftBart: Implements the SoftBart Algorithm (original) (raw)

Implements the SoftBart model of described by Linero and Yang (2018) <doi:10.1111/rssb.12293>, with the optional use of a sparsity-inducing prior to allow for variable selection. For usability, the package maintains the same style as the 'BayesTree' package.

Version: 1.0.2
Imports: Rcpp (≥ 0.12.9), glmnet (≥ 4.0.0), scales (≥ 1.1.1), methods, caret, truncnorm, progress, MASS
LinkingTo: Rcpp, RcppArmadillo
Published: 2025-05-10
DOI: 10.32614/CRAN.package.SoftBart
Author: Antonio R. Linero [aut, cre]
Maintainer: Antonio R. Linero <antonio.linero at austin.utexas.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: SoftBart citation info
Materials: NEWS
CRAN checks: SoftBart results

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