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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 |
Reference manual: | simulMGF.pdf |
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 |
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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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