The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 gmail.com>
BugReports: https://github.com/vkrakovna/sbfc/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/vkrakovna/sbfc
NeedsCompilation: yes
CRAN checks: sbfc results

Documentation:

Reference manual: sbfc.pdf

Downloads:

Package source: sbfc_1.0.3.tar.gz
Windows binaries: r-devel: sbfc_1.0.3.zip, r-release: sbfc_1.0.3.zip, r-oldrel: sbfc_1.0.3.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sbfc 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.