Package: predbayescor
Version: 1.1-3
Title: Classification rule based on Bayesian naive Bayes models with feature selection bias corrected
Author: Longhai Li <longhai@math.usask.ca>
Maintainer: Longhai Li <longhai@math.usask.ca>
Depends: R (>= 2.5.1)
Description: 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. 
License: GPL (>=2)
URL: \url{http://www.r-project.org}, \url{http://math.usask.ca/~longhai}
Packaged: Thu Feb 21 19:38:35 2008; longhai
