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: 2026-06-24 13:15:25 UTC; root
Author: Longhai Li [aut, cre]
Maintainer: Longhai Li <longhai.li@usask.ca>
Repository: https://longhaisk.r-universe.dev
Date/Publication: 2026-03-30 15:46:23 UTC
RemoteUrl: https://github.com/cran/BCBCSF
RemoteRef: HEAD
RemoteSha: 050f57d809e36b679df4ab422280bb6b0973b083