R-gausspred - Bayesian Classification with High-dimensional Gaussian P
| Website: | http://cran.at.r-project.org/web/packages/gausspred/index.html |
|---|---|
| License: | GPL (>= 2) |
- Description:
This software is used to predict the discrete response based on selected high dimensional features, such as gene expression data. The data are modeled with Bayesian Gaussian 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 when one uses F-statistic to select features.
Packages
| R-gausspred-1.0.0-1.fc12.x86_64 [36 KiB] |
Changelog
by pingou (2010-03-25):
- initial package for Fedora |