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simulMGF: Simulate SNP Matrix, Phenotype and Genotypic Effects

Simulate genotypes in SNP (single nucleotide polymorphisms) Matrix as random numbers from an uniform distribution, for diploid organisms (coded by 0, 1, 2), Sikorska et al., (2013) <doi:10.1186/1471-2105-14-166>, or half-sib/full-sib SNP matrix from real or simulated parents SNP data, assuming mendelian segregation. Simulate phenotypic traits for real or simulated SNP data, controlled by a specific number of quantitative trait loci and their effects, sampled from a Normal or an Uniform distributions, assuming a pure additive model. This is useful for testing association and genomic prediction models or for educational purposes.

Version: 0.1.1
Suggests: spelling
Published: 2023-04-02
DOI: 10.32614/CRAN.package.simulMGF
Author: Martin Nahuel Garcia [aut, cre]
Maintainer: Martin Nahuel Garcia <garcia.martin at inta.gob.ar>
License: MIT + file LICENSE
URL: https://github.com/mngar/simulMGF
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: simulMGF results

Documentation:

Reference manual: simulMGF.pdf

Downloads:

Package source: simulMGF_0.1.1.tar.gz
Windows binaries: r-devel: simulMGF_0.1.1.zip, r-release: simulMGF_0.1.1.zip, r-oldrel: simulMGF_0.1.1.zip
macOS binaries: r-release (arm64): simulMGF_0.1.1.tgz, r-oldrel (arm64): simulMGF_0.1.1.tgz, r-release (x86_64): simulMGF_0.1.1.tgz, r-oldrel (x86_64): simulMGF_0.1.1.tgz
Old sources: simulMGF archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simulMGF to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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