Dear authors, Im an Italian PhD student and Im dealing with linear mixed models.
Id like to use your lme library, but I have a problem. Im able to estimate a null model. For example, using SAS data, I can estimate the model: lme(y ~ 1, data = Mississippi, random = ~ 1|influent, method="ML") As suggested in the literature I want to test the significance of the second level variance. So, I would like also to estimate a linear model without random effects. Is it possible with your library? In the description of the function lme I found that the random part is optional, but I don't know how to remove it. I tried also other R functions (as glm, lme, etc), but I dont find any function that implements the models with the method ML. Can you help me, please? Really thanks for you help, Bests Roberta Varriale Ps I prefer your new look! ______________________________________________ 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.
