sbfc: Selective Bayesian Forest Classifier

An MCMC algorithm for simultaneous feature selection and classification, and visualization of the selected features and feature interactions. An implementation of SBFC by Krakovna, Du and Liu (2015), <doi:10.48550/arXiv.1506.02371>.

Version: 1.0.3
Depends: R (≥ 2.10), DiagrammeR
Imports: Rcpp (≥ 0.12.2), Matrix, discretization
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-01-15
DOI: 10.32614/CRAN.package.sbfc
Author: Viktoriya Krakovna
Maintainer: Viktoriya Krakovna <vkrakovna at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: sbfc results


Reference manual: sbfc.pdf


Package source: sbfc_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sbfc_1.0.3.tgz, r-oldrel (arm64): sbfc_1.0.3.tgz, r-release (x86_64): sbfc_1.0.3.tgz, r-oldrel (x86_64): sbfc_1.0.3.tgz
Old sources: sbfc archive


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