new version of lme4 - Log-Likelihood of model returned as "-Inf"
Actually, it got stripped by the mailing list software. Can you post it somewhere? (You can also e-mail it to me.) (Maybe it got censored because your data frame is called "shits", which I assume is pronounced "ess-hits" unless these are data on scat samples :-) ?) Perhaps you have the Poisson analogue of complete separation, i.e. a combination of factor levels within which all the responses are zero? If so, the bglmer function from the blme package might be helpful ...
On 14-02-12 06:14 PM, juwb08 at hampshire.edu wrote:
... the dataset failed to attach, so here it is. Sorry! Quoting juwb08 at hampshire.edu:
Hi All, I was working with Poisson glmms in lme4 last year in 2013 using Windows XP, lme4 version 0.999375-16 (2008-06-23) and R version 2.15.1 (2012-06-22), evaluating a set of candidate models with AIC to select the best ones. This worked well until I updated lme4 and R last month. I now updated to R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" and lme4 version 1.0-5 (2013-10-24), still Windows XP, and am running the same models again on the same data, and lme4 now returns "-Inf" for the log likelihood, so it can't calculate AIC. Using the previous versions, I got stable values for Log-Likelihoods and calculated AICs with them. Attached is a sample of the dataset and the code I am using. How can I get a Log-Likelihood estimate with the current versions of lme4 and R? Thanks in advance. Justin Baldwin Hampshire College, MA, USA
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