?Hi all, In genetic studies, we sometimes include the genetic relatedness matrix as a variance component, so we have this following model: Y~Xbeta+Zb+error, where beta are the fixed effects, b~N(0,sigma^2*I) are the random effects, error are the random error, Z is the cholesky decomposition of the known genetic relatedness matrix. So how to use lme4 to fit this model if we know X and Z beforehand? I can use the package "nlme" to do it using the code like lme(y~-1+X, random=list(group=pdIdent(~-1+Z))), but how to do it using lme4? (It's my first time to submit a post, and please let me know if I made anything wrong/inproper.) Thank you. Zhengyang ________________________________ UT Southwestern Medical Center The future of medicine, today.
How to specify user-defined matrix Z?
1 message · Zhengyang Zhou