Classification rule based on Bayesian naive Bayes models with feature selection bias corrected CRAN Task View: Bayesian (http://CRAN.R-project.org/view=Bayesian) CRAN Task View: MachineLearning (http://CRAN.R-project.org/view=MachineLearning) CRAN Task View: Multivariate (http://CRAN.R-project.org/view=Multivariate) This software is used to predict the binary response based on high dimensional features, for example gene expression data. The data are modelled with Bayesian naive Bayes models. 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 will appear stronger. This package provides a way to avoid this bias and yields well-calibrated prediction for the test cases. Software Depends: R (>= 2.5.1) Longhai Li <longhai@math.usask.ca> Longhai Li <longhai@math.usask.ca> GPL (>= 2) 2008-04-10 application/tgz http://CRAN.R-project.org/package=predbayescor