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ggmix
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ggmix . https://github.com/sahirbhatnagar/ggmix/issues . https://github.com/sahirbhatnagar/ggmix . ggmix results . ggmix.pdf . Introduction to the ggmix package . ggmix_0.0.2.tar.gz . ggmix_0.0.2.zip . ggmix_0.0.2.zip . ggmix_0.0.2.zip . ggmix_0.0.2.tgz . ggmix_0.0.2.tgz . ggmix_0.0.2.tgz . ggmix_0.0.2.tgz . ggmix_0.0.2.tgz . ggmix_0.0.2.tgz . ggmix archive . https://CRAN.R-project.org/package=ggmix .
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
View ggmix citation profile
Other R packages that ggmix depends,
imports, suggests or enhances
Complete documentation for ggmix
Functions, R codes and Examples using
the ggmix R package
Some associated functions: admixed . gen_structured_model . ggmix . ggmix_data_object . gic . gr_eta_lasso_fullrank . karim . kkt_check . lambdalasso . lmmlasso . logliklasso . plot.ggmix_fit . plot.ggmix_gic . predict.ggmix_fit . predict.ggmix_gic . print.ggmix_fit . ranef . sigma2lasso .
Some associated R codes: constructors.R . data.R . eta.R . fitting.R . functions.R . ggmix.R . gic.R . kkt.R . lambda.R . lmmlasso.R . loglik.R . methods.R . plot.R . ranef.R . sigma2.R . utils.R . Full ggmix package functions and examples
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