Description:

Classification rule based on Bayesian naive Bayes models with feature selection bias corrected: 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.

Changes to previous version:

Fetched by r-cran-robot on 2012-12-01 00:00:07.510624

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: None

Tags: R-Cran

Archive: download here

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