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simulMGF  

Simulate SNP Matrix, Phenotype and Genotypic Effects
View on CRAN: Click here


Download and install simulMGF package within the R console
Install from CRAN:
install.packages("simulMGF")

Install from Github:
library("remotes")
install_github("cran/simulMGF")

Install by package version:
library("remotes")
install_version("simulMGF", "0.1.1")



Attach the package and use:
library("simulMGF")
Maintained by
Martin Nahuel Garcia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-26
Latest Update: 2023-04-02
Description:
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 lociand 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.
How to cite:
Martin Nahuel Garcia (2023). simulMGF: Simulate SNP Matrix, Phenotype and Genotypic Effects. R package version 0.1.1, https://cran.r-project.org/web/packages/simulMGF. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2023-03-26 21:20)
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View simulMGF citation profile
Other R packages that simulMGF depends, imports, suggests or enhances
Complete documentation for simulMGF
Functions, R codes and Examples using the simulMGF R package
Some associated functions: simGeno . simPheno . simulFS . simulHS . simulN . simulU . 
Some associated R codes: script_simulMGF.R .  Full simulMGF package functions and examples
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