BCBCSF (0.0-2)
Bias-corrected Bayesian Classification with Selected Features.
http://www.r-project.org
http://math.usask.ca/~longhai
http://cran.r-project.org/web/packages/BCBCSF
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.
Maintainer:
Longhai Li
Author(s): Longhai Li <longhai@math.usask.ca>
License: GPL (>= 2)
Uses: abind
Released 8 months ago.
