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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 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

Downloads:

Package source: SoftBart_1.0.1.tar.gz
Windows binaries: r-devel: SoftBart_1.0.1.zip, r-release: SoftBart_1.0.1.zip, r-oldrel: SoftBart_1.0.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SoftBart to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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