Selection of Training Populations by Genetic Algorithm

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Documentation for package ‘STPGA’ version 5.2.1

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STPGA-package Selection of Training Populations by Genetic Algorithm
Amat.pieces Amat.pieces
AOPT Optimality Criteria
CDMAX Optimality Criteria
CDMAX0 Optimality Criteria
CDMAX2 Optimality Criteria
CDMEAN Optimality Criteria
CDMEAN0 Optimality Criteria
CDMEAN2 Optimality Criteria
CDMEANMM Optimality Criteria
disttoideal Calculate the distance of solutions from the 'ideal' solution.
dist_to_test Optimality Criteria
dist_to_test2 Optimality Criteria
DOPT Optimality Criteria
EOPT Optimality Criteria
GAUSSMEANMM Optimality Criteria
GenAlgForSubsetSelection Genetic algorithm for subset selection
GenAlgForSubsetSelectionMO Genetic algorithm for subset selection no given test with multiple criteria for Multi Objective Optimized Experimantal Design.
GenAlgForSubsetSelectionMONoTest Genetic algorithm for subset selection no given test with multiple criteria for Multi Objective Optimized Experimental Design.
GenAlgForSubsetSelectionNoTest Genetic algorithm for subset selection no given test
GenerateCrossesfromElites Generate crosses from elites
GOPTPEV Optimality Criteria
GOPTPEV2 Optimality Criteria
makeonecross Make a cross from two solutions and mutate.
neg_dist_in_train Optimality Criteria
neg_dist_in_train2 Optimality Criteria
PEVMAX Optimality Criteria
PEVMAX0 Optimality Criteria
PEVMAX2 Optimality Criteria
PEVMEAN Optimality Criteria
PEVMEAN0 Optimality Criteria
PEVMEAN2 Optimality Criteria
PEVMEANMM Optimality Criteria
STPGA Selection of Training Populations by Genetic Algorithm
Wheat.K Adult plant height (estimated genetic values) for 1182 elite wheat lines
Wheat.M Adult plant height (estimated genetic values) for 1182 elite wheat lines
Wheat.Y Adult plant height (estimated genetic values) for 1182 elite wheat lines
WheatData Adult plant height (estimated genetic values) for 1182 elite wheat lines