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This package was removed from CRAN on 2019-07-05. Its history is shown below.
Reason: misuse of package= for PACKAGE= was not corrected despite reminder
Details below reflect version 1.0, its last release before removal.

genMOSSplus

1.0

Application of MOSS algorithm to genome-wide association study (GWAS)

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Overview

About
Maintained by Laurent Briollais1 releasesCRAN page ↗

This is a genMOSS package with additional datafile preprocessing functions. Performs genome-wide analysis of dense SNP array data using the mode oriented stochastic search (MOSS) algorithm in a case-control design. The MOSS algorithm is a Bayesian variable selection procedure that is applicable to GWAS data. It identifies combinations of the best predictive SNPs associated with the response. It also performs a hierarchical log-linear model search to identify the most relevant associations among the resulting subsets of SNPs. This package also includes preprocessing of the data from Plink format to the format required by the MOSS algorithm.

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Documented parameters
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Return-value docs
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References docs
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Downloads

genMOSSplus
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.0.0 released · 2020-04-24
  • archivedRemoved from CRAN
    2019-07-05
    misuse of package= for PACKAGE= was not corrected despite reminder
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0
    2013-04-12
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

Total releases
1
License
GPL-2 OSI
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Cite

Cite this package

Run in R for the authors' preferred citation:

citation("genMOSSplus")
Vesselova, O., Friedlander, M., Briollais, L., Dobra, A., & Massam., H. (n.d.). genMOSSplus: Application of MOSS algorithm to genome-wide association study (GWAS) (Version 1.0) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=genMOSSplus

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 genMOSSplus version 1.0 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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