Jay Ver Hoef developed a package:
glmmLDTS
that I think deals explicitly with all your issues (binomial, random
effects, temporal autocorrelation...but not GAMM).
see his page and two papers (Note, it only seems to run on < R.3.0):
https://sites.google.com/site/jayverhoef/
*Ver Hoef, J.M.*, Lo
Thanks for the responses. I am going to try modelling the binomial data with
a covariate representing the previous value and see if that's sufficient.
I haven't used INLA, I have some experience with JAGs but not sure where to
start with modelling temporal structures there. I need to model both
Sam;
We had a similar situation with a GLMM with temporal autocorrelation in the
binary response variable Reyier et al. 2014). Because we wanted to use model
selection based on AIC, we could not use the quasi-likelihood estimates from
glmmPQL. Instead we used an approach called "State dependence" b
On 08/26/2014 07:34 PM, SamiC wrote:
Dear ecology mailing list,
I am trying to model some binomial data (0/1) as a function of sex (0/1) and
DistanceToFeature (continuous km’s) with an interaction between the two. My
data is nested and I therefore want to include a random intercept for
Inidivid
Dear ecology mailing list,
I am trying to model some binomial data (0/1) as a function of sex (0/1) and
DistanceToFeature (continuous km’s) with an interaction between the two. My
data is nested and I therefore want to include a random intercept for
InidividualID and within that I want to include
