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CRAN: Package SoftBart

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: 1.0.2 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 Documentation: Reference manual: SoftBart.pdf Vignettes: SoftBartUsage (source)
Downloads: Package source: SoftBart_1.0.2.tar.gz Windows binaries: r-devel: SoftBart_1.0.2.zip, r-release: SoftBart_1.0.2.zip, r-oldrel: SoftBart_1.0.2.zip macOS binaries: r-release (arm64): SoftBart_1.0.2.tgz, r-oldrel (arm64): SoftBart_1.0.2.tgz, r-release (x86_64): SoftBart_1.0.2.tgz, r-oldrel (x86_64): SoftBart_1.0.2.tgz Old sources: SoftBart archive Linking:

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