Hi,
[note: 4th posting trial - apologize if the other ones would ever show
up...]
I have a (3-level) ordinal response data set which needs the integration
of an spatial autocorrelation structure. What packages / functions are
available to fit such a thing ?
The heterogeneous, cluster-alike structuring of the autocorrelation
seems to make a mixed effects model with random factors capturing the
different sampling regions as ideal. I failed however to find a function
in nlme/lme4 or other packages capable of fitting ordinal data, and
package 'DPpackage' uses an approach I am not really familiar with; the
function DPMolmm also triggers errors, even for the provided examples.
There is no sound a-priori reason to believe that the proportional odds
assumptions apply - they may, or may not. Anyways I don't have any
preference to that specific kind of model, so any type of ordinal
response model would be much appreciated !
I don't see a practical way of constructing a model out of 2 individual
logistic regression models, but in case there is, I'd be happy to hear
about !
BTW, I have no idea why my posts don't make it through lately. Is there
some 'testing' newsgroup I can send dummy posts too, just to see if it
works ?
thanks a lot and cheers,
Thomas
______________________________________________
R-help@r-project.org 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.
