Package: BCBCSF
Version: 1.0-1
Title: Bias-Corrected Bayesian Classification with Selected Features
Author: Longhai Li <longhai@math.usask.ca>
Maintainer: Longhai Li <longhai@math.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: http://www.r-project.org, http://math.usask.ca/~longhai
Packaged: 2015-09-25 21:59:35 UTC; longhai
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-09-26 01:05:27
Built: R 4.3.3; aarch64-apple-darwin20; 2025-01-24 04:31:30 UTC; unix
Archs: BCBCSF.so.dSYM
