BCBCSF (1.0-1)

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Bias-Corrected Bayesian Classification with Selected Features.


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.

Maintainer: Longhai Li
Author(s): Longhai Li <longhai@math.usask.ca>

License: GPL (>= 2)

Uses: abind

Released over 4 years ago.

4 previous versions



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