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.

Browse man pages Browse package API and functions Browse package files

AuthorDeniz Akdemir
Date of publication2017-03-02 08:09:19
MaintainerDeniz Akdemir <deniz.akdemir.work@gmail.com>
LicenseGPL-3
Version4.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("STPGA")

Man pages

CRITERIA: Optimality Criteria
GenAlgForSubsetSelection: Genetic algorithm for subset selection
GenAlgForSubsetSelectionNoTest: Genetic algorithm for subset selection no given test
GenerateCrossesfromElites: Generate crosses from elites
makeonecross: Make a cross from two solutions and mutate.
STPGA-package: Selection of Training Populations by Genetic Algorithm
WheatData: Adult plant height (estimated genetic values) for 1182 elite...

Functions

AOPT Man page Source code
CDMAX Man page Source code
CDMAX0 Man page Source code
CDMAX2 Man page Source code
CDMEAN Man page Source code
CDMEAN0 Man page Source code
CDMEAN2 Man page Source code
CDMEANMM Man page Source code
DOPT Man page Source code
EOPT Man page Source code
GAUSSMEANMM Man page Source code
GOPTPEV Man page Source code
GOPTPEV2 Man page Source code
GenAlgForSubsetSelection Man page Source code
GenAlgForSubsetSelectionNoTest Man page Source code
GenerateCrossesfromElites Man page Source code
PEVMAX Man page Source code
PEVMAX0 Man page Source code
PEVMAX2 Man page Source code
PEVMEAN Man page Source code
PEVMEAN0 Man page Source code
PEVMEAN2 Man page Source code
PEVMEANMM Man page Source code
STPGA Man page
STPGA-package Man page
Wheat.K Man page
Wheat.M Man page
Wheat.Y Man page
WheatData Man page
makeonecross Man page Source code

Files

inst
inst/doc
inst/doc/VignetteforSTPGA.pdf
inst/doc/VignetteforSTPGA.ltx
NAMESPACE
data
data/WheatData.rda
R
R/PEVMEAN2.R
R/GenAlgForSubsetSelectionNoTest.R
R/PEVMEAN0.R
R/CDMAX0.R
R/PEVMAX.R
R/CDMEAN2.R
R/PEVMAX2.R
R/makeonecross.R
R/CDMEANMM.R
R/AOPT.R
R/GenAlgForSubsetSelection.R
R/CDMAX2.R
R/GAUSSMEANMM.R
R/GOPTPEV.R
R/CDMEAN0.R
R/CDMAX.R
R/PEVMAX0.R
R/PEVMEAN.R
R/PEVMEANMM.R
R/CDMEAN.R
R/EOPT.R
R/GenerateCrossesfromElites.R
R/DOPT.R
R/GOPTPEV2.R
vignettes
vignettes/VignetteforSTPGA-InfObsEx2.pdf
vignettes/VignetteforSTPGA-VarSelEx9.pdf
vignettes/CONVERGENCEOFSTPGA-eps-converted-to.pdf
vignettes/VignetteforSTPGA-VarSelEx2.pdf
vignettes/FigAmdahl-eps-converted-to.pdf
vignettes/VignetteforSTPGA-InfObsEx3.pdf
vignettes/VignetteforSTPGA-WheatExA5.pdf
vignettes/VignetteforSTPGA-SimEx1.pdf
vignettes/VignetteforSTPGA-WheatEx19.pdf
vignettes/FigAmdahl.eps
vignettes/VignetteforSTPGA.ltx
vignettes/CONVERGENCEOFSTPGA.eps
vignettes/CONVERGENCEOFSTPGAwithTest.eps
vignettes/CONVERGENCEOFSTPGAwithTest-eps-converted-to.pdf
vignettes/references.bib
vignettes/VignetteforSTPGA-WheatEx2.pdf
vignettes/VignetteforSTPGA-WheatEx10.pdf
vignettes/VignetteforSTPGA-WheatEx16.pdf
vignettes/VignetteforSTPGA-WheatEx14.pdf
MD5
build
build/vignette.rds
DESCRIPTION
man
man/STPGA-package.Rd
man/WheatData.Rd
man/makeonecross.Rd
man/CRITERIA.Rd
man/GenAlgForSubsetSelectionNoTest.Rd
man/GenAlgForSubsetSelection.Rd
man/GenerateCrossesfromElites.Rd
STPGA documentation built on May 19, 2017, 1:32 p.m.