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STPGA

5.2.1Package record

Selection of Training Populations by Genetic Algorithm

0packages depend
2.9Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Deniz Akdemir <deniz.akdemir.work@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Deniz",
                    family = "Akdemir",
                    role = c("aut", "cre"),
                    email = "deniz.akdemir.work@gmail.com")
as necessary.

CRAN check page ↗

Slowest check: 2.1 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 5.2.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

2.9K
CRAN downloads in the past year
Rank #12,638 · ~8/day · ~243/mo
Daily download trend is not available in this view yet.
31730 days
89490 days
2.9K1 year
Compare downloads with other packages →
Also on65 r2u7 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

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.

Depends (6)
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0 (2014)

Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 5.2.1Latest
    record
    2018-11-24 · current release · diff ↗
  • 5.2
    record
    2018-09-21 · diff ↗
  • 5.1
    record
    2018-08-16 · diff ↗ ·
    added 7 exports
    GenAlgForSubsetSelectionMONoTest, GenAlgForSubsetSelectionMO, disttoideal, dist_to_test, dist_to_test2, neg_dist_in_train, neg_dist_in_train2
  • 5.0
    record
    2018-07-22 · diff ↗ ·
    added 16 exports
    CDMEAN0, CDMEAN2, CDMEANMM, PEVMEAN0, PEVMEAN2, PEVMEANMM, GAUSSMEANMM, PEVMAX, PEVMAX0, PEVMAX2, CDMAX, CDMAX0, CDMAX2, GOPTPEV, GOPTPEV2, Amat.pieces
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 4.0
    record
    2017-03-02 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 7 exports
    GenAlgForSubsetSelection, GenAlgForSubsetSelectionNoTest, AOPT, CDMEAN, DOPT, EOPT, PEVMEAN
  • 3.0
    record
    2016-08-09 · diff ↗
Show 5 earlier eventsHide 5 earlier events
  • 2.0
    record
    2016-05-05 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    record
    2014-05-31
  • R
    R 3.1.0 released · 2014-04-10

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

Cite this package

Run in R for the authors' preferred citation:

citation("STPGA")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for STPGA version 5.2.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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