Package: BCBCSF
Version: 1.0-2
Date: 2026-03-27
Title: Bias-Corrected Bayesian Classification with Selected Features
Authors@R: person(given = "Longhai",
                  family = "Li",
                  role = c("aut", "cre"),
                  email = "longhai.li@usask.ca")
Depends: R (>= 2.13.1), abind
Description: 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. 
License: GPL (>= 2)
URL: https://www.r-project.org, https://longhaisk.github.io/
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-03-27 21:58:44 UTC; lol553
Author: Longhai Li [aut, cre]
Maintainer: Longhai Li <longhai.li@usask.ca>
Repository: CRAN
Date/Publication: 2026-03-30 14:20:10 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 12:36:01 UTC; unix
Archs: BCBCSF.so.dSYM
