STPGA: Selection of Training Populations by Genetic Algorithm
Can 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.
| Version: |
1.0 |
| Published: |
2014-05-31 |
| Author: |
Deniz Akdemir |
| Maintainer: |
Deniz Akdemir <deniz.akdemir.work at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
STPGA results |
Downloads: