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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BCBCSF" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'BCBCSF: Bias-Corrected Bayesian Classification with Selected Features'
version: 1.0-2
doi: 10.32614/CRAN.package.BCBCSF
identifiers:
- type: url
  value: https://longhaisk.github.io/
abstract: 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.
authors:
- family-names: Li
  given-names: Longhai
  email: longhai.li@usask.ca
repository: https://longhaisk.r-universe.dev
commit: 050f57d809e36b679df4ab422280bb6b0973b083
url: https://www.r-project.org
date-released: '2026-03-27'
contact:
- family-names: Li
  given-names: Longhai
  email: longhai.li@usask.ca