STPGA: Selection of Training Populations by Genetic Algorithm
Version 4.0

To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.

Package details

AuthorDeniz Akdemir
Date of publication2017-03-02 08:09:19
MaintainerDeniz Akdemir <[email protected]>
Package repositoryView on CRAN
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STPGA documentation built on May 29, 2017, 3:44 p.m.