Hi Phillip,

I am happy with the book "Mixed Effects Models and Extensions in Ecology
with R"
by Zuur, Ieno, Walker, Saveliev and Smith. In fact I am reading chapter by
chapter,
and the reading is very digestible, as well as the examples are quite easy
to understand
and to be reference for our "real world".

Cheers

milton
brazil=toronto

On Fri, Jun 26, 2009 at 6:42 PM, Phillip Chapman <
pchapman@stat.colostate.edu> wrote:

>
> Hi All,
>
> I have been trying to learn mixed models in R by reading the books by
> Pinheiro and Bates; Faraway (both linear models books); and Crawley (R
> Book), but I would appreciate some guidance from the more experience R
> users. (I have a fair amount of experience with mixed models in SAS.)
>
> 1. Is there another (other than the above) suggested reference for
> understanding the workings of the nlme and lme4 libraries?
>
> 2. Is it the case that lme accepts correlated structures ONLY in the error
> term? I have problems in which I would like model random effects (such as
> year) using a random term with an autocorrelated structure. In SAS I use
> options to the “repeated” statement to add correlation structure to the
> error term, and I use options to the “random” statement to give correlation
> structure to the other random effects. I haven’t found anything in lme or
> lmer that allows me to specify correlated random effects. gee only allows
> correlation structure in the error term and does not allow random effects.
>
> 3. All of the examples of random effects in lme seem to have nested error
> structures. Is it the case that lme does not allow crossed random effects?
> lmer allows much more flexible specification of random effects, but I don’t
> see anything that allows correlated error structures.
>
> Thanks in advance,
>
> Phil Chapman
>
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