WANG <ping.wang <at> newcastle.ac.uk> writes: > I use lmer to extract model in your package of lme4. It seems works > well. But the problem is when I use anova/summary the extracted model, > no p-value is shown at all. In previous version(nlme), I mainly use > p-value to judge which term is significant or not, and then make a > decision to keep this term or not. Does it means that sth wrong with my > installation of package/R? or you use other value to judge the > significance of terms?
As it turns out, assessing the significance of fixed-effects terms in a mixed model is potentially a huge problem. Essentially, Doug Bates no longer feels that the simple denominator-degrees-of-freedom approach that was used in nlme is reliable. http://wiki.r-project.org/rwiki/doku.php?id=guides:lmer-tests&s=bates%20mixed After reading all of this (and checking out mcmcsamp in the lme4 package), you may need to turn to [EMAIL PROTECTED] for further assistance ... good luck, Ben Bolker ______________________________________________ [email protected] 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.
