(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)
A few weeks ago I covered an R package for efficient mixed model regression that is capable of simultaneously accounting for both population stratification and relatedness to compute unbiased estimates of standard errors and p-values for genetic association studies. Fitting linear mixed effects models on GWAS scale can be very time consiuming, however, and another group recently reported a method
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
