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), <http://arxiv.org/abs/1506.02371>.

Version: 1.0.1
Depends: R (≥ 2.10), DiagrammeR
Imports: Rcpp (≥ 0.12.2), Matrix, discretization
LinkingTo: Rcpp, RcppArmadillo
Published: 2016-07-16
Author: Viktoriya Krakovna
Maintainer: Viktoriya Krakovna <vkrakovna at gmail.com>
BugReports: http://github.com/vkrakovna/sbfc/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/vkrakovna/sbfc
NeedsCompilation: yes
CRAN checks: sbfc results

Downloads:

Reference manual: sbfc.pdf
Package source: sbfc_1.0.1.tar.gz
Windows binaries: r-devel: sbfc_1.0.1.zip, r-release: sbfc_1.0.1.zip, r-oldrel: sbfc_1.0.1.zip
OS X Mavericks binaries: r-release: sbfc_1.0.1.tgz, r-oldrel: sbfc_1.0.1.tgz
Old sources: sbfc archive

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