Data Mining Algorithms In R/Packages/gausspred

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Description[edit]

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.

Requirements[edit]

R (>= 2.8.1)

General API[edit]

  1. assess prediction
  2. data gau
  3. train pred gau