README.md
In bcm-uga/NaturalGWAS: Simulating Phenotypes and Evaluating GWAS Methods
naturalgwas
naturalgwas is an R package for simulating phenotypes and evaluating GWAS methods in studies where geographic coverage is large and the studied populations exhibit high levels of population genetic structure (natural GWAS). This package contains the simulation scripts used by Francois and Caye (2017) for comparing latent factor models to oracle methods in this context.
Installation
Install the latest version from github (requires devtools):
# install.packages("devtools")
devtools::install_github("bcm-uga/naturalgwas")
References
- Olivier Francois and Kevin Caye. To be filled.
bcm-uga/NaturalGWAS documentation built on Dec. 18, 2019, 12:36 a.m.
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naturalgwas
naturalgwas is an R package for simulating phenotypes and evaluating GWAS methods in studies where geographic coverage is large and the studied populations exhibit high levels of population genetic structure (natural GWAS). This package contains the simulation scripts used by Francois and Caye (2017) for comparing latent factor models to oracle methods in this context.
Installation
Install the latest version from github (requires devtools):
# install.packages("devtools")
devtools::install_github("bcm-uga/naturalgwas")
References
- Olivier Francois and Kevin Caye. To be filled.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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