BCBCSF: Bias-Corrected Bayesian Classification with Selected Features

Fully Bayesian Classification with a subset of high-dimensional features, such as expression levels of genes. The data are modeled with a hierarchical Bayesian models using heavy-tailed t distributions as priors. When a large number of features are available, one may like to select only a subset of features to use, typically those features strongly correlated with the response in training cases. Such a feature selection procedure is however invalid since the relationship between the response and the features has be exaggerated by feature selection. This package provides a way to avoid this bias and yield better-calibrated predictions for future cases when one uses F-statistic to select features.

Version:	1.0-1
Depends:	R (≥ 2.13.1), abind
Published:	2015-09-26
DOI:	10.32614/CRAN.package.BCBCSF
Author:	Longhai Li
Maintainer:	Longhai Li <longhai at math.usask.ca>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://www.r-project.org, http://math.usask.ca/~longhai
NeedsCompilation:	yes
In views:	Bayesian
CRAN checks:	BCBCSF results [issues need fixing before 2026-03-25]

Documentation:

Reference manual:

BCBCSF.html , BCBCSF.pdf

Downloads:

Package source:	BCBCSF_1.0-1.tar.gz
Windows binaries:	r-devel: BCBCSF_1.0-1.zip, r-release: BCBCSF_1.0-1.zip, r-oldrel: BCBCSF_1.0-1.zip
macOS binaries:	r-release (arm64): BCBCSF_1.0-1.tgz, r-oldrel (arm64): BCBCSF_1.0-1.tgz, r-release (x86_64): BCBCSF_1.0-1.tgz, r-oldrel (x86_64): BCBCSF_1.0-1.tgz
Old sources:	BCBCSF archive

Reverse dependencies:

Reverse imports:

HTLR

Linking:

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