BCBCSF: Bias-Corrected Bayesian Classification with Selected Features
Version 1.0-1

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.

Getting started

Package details

AuthorLonghai Li <longhai@math.usask.ca>
Date of publication2015-09-26 01:05:27
MaintainerLonghai Li <longhai@math.usask.ca>
LicenseGPL (>= 2)
URL http://www.r-project.org http://math.usask.ca/~longhai
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the BCBCSF package in your browser

Any scripts or data that you put into this service are public.

BCBCSF documentation built on May 30, 2017, 4:18 a.m.