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milorGWAS  

Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("milorGWAS", "0.7")



Attach the package and use:
library("milorGWAS")
Maintained by
Hervé Perdry
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-25
Latest Update: 2020-03-25
Description:
Fast approximate methods for mixed logistic regression in genome-wide analysis studies (GWAS). Milet et al 2020 .
How to cite:
Hervé Perdry (2020). milorGWAS: Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS). R package version 0.7, https://cran.r-project.org/web/packages/milorGWAS. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.3 (2020-03-25 16:30), 0.6 (2023-12-10 18:10)
Other packages that cited milorGWAS R package
View milorGWAS citation profile
Other R packages that milorGWAS depends, imports, suggests or enhances
Complete documentation for milorGWAS
Functions, R codes and Examples using the milorGWAS R package
Some associated functions: SNP.category . association.test.logistic . qqplot.pvalues . 
Some associated R codes: RcppExports.R .  Full milorGWAS package functions and examples
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