I found this email on the R website. I am trying to figure out how
to analyse a data set that I believe will need to be run through a
procedure involving repeated measures, regression and mixed models.
The data is of insect populations (dependent variable - either
0/1=binomial, or as counts=poisson) in sites with different
characteristics (multiple independent variables which are both
categorical and continuous). These populations were repeatedly
sampled (an unequal number of times) at different times during the
year.
The standard stats packages are not able to do what I would like to
do. Any suggestions for some alternative methods such as those
which are specially programmed for R and are suited to the type of
data which I am analysing? I understand I will need a flexible
repeated measures application to be able to accept the unequal
sampling. I also will need a gnlm regression to fit the general
data structure. And also, I think, the mixed models capability in
order to fit in the true nature of the data (see next paragraph).