Yao He <yao.h.1988 <at> gmail.com> writes: > > Dear All: > > I want to do association study based on mixed linear model, > > My model not only includes serval fixed effects and random effects but > also incorporates some covariates such as "birth weight". > Otherwise, the size of the data are about 180 individuals and 12 > variables and 60000 Fixed effect estimates > > As asreml-R is not free ,is there any packages for my study? > I heard nlme or lme4 but I'm not sure whether they could incorporate > covariates and what about their computational efficiency?
I believe ASREML-R is free *for noncommercial use* (your address is at a university, so you might qualify). It looks like Windows only, and you need a valid university e-mail: http://www.vsni.co.uk/software/free-to-use/teaching/asreml-teaching If that doesn't work, then lme4 might (although are you sure you need 60K *fixed* effects? Sounds like you need some kind of penalized regression approach -- or maybe you're going to do massive multiple comparisons correction??) You should definitely follow Bert Gunter's advice in this case and read some documentation before asking a more focused question on the r-sig-mixed-models list ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
