Bias-corrected Bayesian Classification with Selected Features CRAN Task View: Bayesian (http://CRAN.R-project.org/view=Bayesian) This software is used to predict the discrete class labels based on a selected 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. Software Depends: R (>= 2.12.1), abind Longhai Li <longhai@math.usask.ca> Longhai Li <longhai@math.usask.ca> GPL (>= 2) 2011-09-14 application/tgz http://CRAN.R-project.org/package=BCBCSF