Hello again R help. This is a simple question perhaps(laughing as I type) with a simple answer. Is the multcomp package appropriate for using with a lme built under the nlme package. I know i can get it to work (i.e report p-values for a tukey test) but i am not unsure if this is appropriate for a linear mixed effects model. Below is the code i used lmm1 <- lme(asinh(density_recruit) ~ region, data=datag, random=list(site=~1)) mc<-glht(lmm1, linfct = mcp(region = "Tukey")) Simultaneous Tests for General Linear Hypotheses Multiple Comparisons of Means: Tukey Contrasts Fit: lme.formula(fixed = asinh(density_recruit) ~ region, data = datag, random = list(site = ~1)) Linear Hypotheses: Estimate Std. Error z value p value 2 - 1 == 0 -2.166 1.148 -1.886 0.143 3 - 1 == 0 -1.162 1.148 -1.012 0.569 3 - 2 == 0 1.004 1.148 0.874 0.657 (Adjusted p values reported) So according to this i have no significant differences (expected since the fixed effects were insignificant, and i know that multiple comparisons should not be carried out in this case. i am just using it as an example. I just want to know if the multcomp package works with a linear mixed model built under the nlme package) Thanks Stephen Cole M.S.c candidate Saint Francis Xavier University