Dear all, We are trying to do a meta regression in R using the lme function. The reason for doing this with lme function is that we have covariates and studies within references. In S-Plus this is possible by using the following command:
lme(outcome ~ covars, random = ~1 | reference/study, weights = varFixed(~var.outcome), data = mydata, control = lmeControl(sigma = 1)) This means that the residual variance is equal to var.outcome times sigma, where sigma is fixed to 1. In R we do not know how to fix sigma = 1 in the lmeControl. Has anyone experience with this? If so, how can we solve this problem? We can't stand that we can do it in S-Plus, but not in R! Jan van de Kassteele Maarten Schipper Disclaimer RIVM [[alternative HTML version deleted]] ______________________________________________ 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.