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: | 1.0.3 |
| Imports: | Rcpp (≥ 0.12.9),glmnet (≥ 4.0.0),scales (≥ 1.1.1), methods,caret,truncnorm,progress,MASS |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2025-11-24 |
| 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 |
| Reference manual: | SoftBart.html ,SoftBart.pdf |
| Vignettes: | SoftBartUsage (source) |
| Package source: | SoftBart_1.0.3.tar.gz |
| Windows binaries: | r-devel:SoftBart_1.0.3.zip, r-release:SoftBart_1.0.3.zip, r-oldrel:SoftBart_1.0.3.zip |
| macOS binaries: | r-release (arm64):SoftBart_1.0.3.tgz, r-oldrel (arm64):SoftBart_1.0.3.tgz, r-release (x86_64):SoftBart_1.0.3.tgz, r-oldrel (x86_64):SoftBart_1.0.3.tgz |
| Old sources: | SoftBart archive |
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