SoftBart: Implements the SoftBart Algorithm

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: 1.0.1
Imports: Rcpp (≥ 0.12.9), glmnet (≥ 4.0.0), scales (≥ 1.1.1), methods, caret, truncnorm, progress, MASS
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-10-29
DOI: 10.32614/CRAN.package.SoftBart
Author: Antonio R. Linero [aut, cre]
Maintainer: Antonio R. Linero <antonio.linero at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: SoftBart citation info
Materials: NEWS
CRAN checks: SoftBart results


Reference manual: SoftBart.pdf
Vignettes: SoftBartUsage


Package source: SoftBart_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SoftBart_1.0.1.tgz, r-oldrel (arm64): SoftBart_1.0.1.tgz, r-release (x86_64): SoftBart_1.0.1.tgz, r-oldrel (x86_64): SoftBart_1.0.1.tgz
Old sources: SoftBart archive


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