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This package was removed from CRAN on 2008-04-23. Its history is shown below.
Details below reflect version 0.1-1, its last release before removal.

pga

0.1-1

An ensemble method for variable selection by carrying out Darwinian evolution in parallel universes

0packages depend
downloads / year
test coverage
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Overview

About
Maintained by Mu Zhu1 releasesCRAN page ↗

PGA is an ensemble algorithm similar in spirit to AdaBoost and random forest. It can ``boost up'' the performance of ``bad'' selection criteria such as AIC and GCV. (Technometrics 48, 491-502; The American Statistician 62, 97-109, Sec 4.3)

Install

Health

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CRAN check results are not tracked yet.

Code health
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Tests · ratio 0.00
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Coverage
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Dependencies · direct

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
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Documented parameters
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Return-value docs
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References docs
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Downloads

pga
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Also on169 bioconda

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
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Enhances (0)
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Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Other (2)
Contributor
Contributor
Package Timeline

1 release. R releases are shown for context.

  • 0.1-1archived
    2008-04-23
  • R
    R 2.6.0 released · 2007-10-03
  • 0.1-1
    2007-08-15
  • R
    R 2.5.0 released · 2007-04-24

Package metadata

Total releases
1
License
GPL (>=2)
Download size
not tracked yet
Installed size
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With dependencies
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Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pga")
Qiao, D., & Zhu, M. (n.d.). pga: An ensemble method for variable selection by carrying out Darwinian evolution in parallel universes (Version 0.1-1) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=pga

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 pga version 0.1-1 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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