Selection of Training Populations by Genetic Algorithm
Overview
Combining Predictive Analytics and Experimental Design to Optimize Results. 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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Deniz Akdemir <deniz.akdemir.work@gmail.com>’
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Authors@R: person(given = "Deniz",
family = "Akdemir",
role = c("aut", "cre"),
email = "deniz.akdemir.work@gmail.com")
as necessary.- NOTE11 OK, 2 NOTE2026-09-08
- ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 17%1 run in a plain check · 5 never run
- Exported functions with examples
- 86%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 18%
Downloads
Dependencies
Installing STPGA adds 13 packages (6 with compiled code, 5.4 MB of source tarballs). Heaviest: farver 1.2 MB, viridisLite 1.2 MB, rlang 766 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 5.2.1Latest
- 5.22018-09-21 · diff ↗
- 5.12018-08-16 · diff ↗ ·
added 7 exports
GenAlgForSubsetSelectionMONoTest, GenAlgForSubsetSelectionMO, disttoideal, dist_to_test, dist_to_test2, neg_dist_in_train, neg_dist_in_train2 - 5.02018-07-22 · diff ↗ ·
added 16 exports
CDMEAN0, CDMEAN2, CDMEANMM, PEVMEAN0, PEVMEAN2, PEVMEANMM, GAUSSMEANMM, PEVMAX, PEVMAX0, PEVMAX2, CDMAX, CDMAX0, CDMAX2, GOPTPEV, GOPTPEV2, Amat.pieces - RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 4.02017-03-02 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+added 7 exports
GenAlgForSubsetSelection, GenAlgForSubsetSelectionNoTest, AOPT, CDMEAN, DOPT, EOPT, PEVMEAN - 3.02016-08-09 · diff ↗
Package metadata
- First published
- 2014-05-31
- Total releases
- 8 / 12 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 390 KB / 1 file
- Download size
- 409 KB
Cite
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