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ggmix  

Variable Selection in Linear Mixed Models for SNP Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ggmix", "0.0.2")



Attach the package and use:
library("ggmix")
Maintained by
Sahir Bhatnagar
[Scholar Profile | Author Map]
First Published: 2020-03-20
Latest Update: 2021-04-13
Description:
Fit penalized multivariable linear mixed models with a single random effect to control for population structure in genetic association studies. The goal is to simultaneously fit many genetic variants at the same time, in order to select markers that are independently associated with the response. Can also handle prior annotation information, for example, rare variants, in the form of variable weights. For more information, see the website below and the accompanying paper: Bhatnagar et al., "Simultaneous SNP selection and adjustment for population structure in high dimensional prediction models", 2020, .
How to cite:
Sahir Bhatnagar (2020). ggmix: Variable Selection in Linear Mixed Models for SNP Data. R package version 0.0.2, https://cran.r-project.org/web/packages/ggmix. Accessed 19 Feb. 2025.
Previous versions and publish date:
0.0.1 (2020-03-20 14:00)
Other packages that cited ggmix R package
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Complete documentation for ggmix
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