[R] Mixed-effects model for overdispersed count data?

2010-10-25 Thread Marie-Hélène Hachey
Hi, I have to analyse the number of provisioning trips to nestlings according to a number of biological and environmental factors. I was thinking of building a mixed-effects model with species and nestid as random effects, using a Poisson distribution, but the data are overdispersed

Re: [R] Mixed-effects model for overdispersed count data?

2010-10-25 Thread Ben Bolker
Marie-Hélène Hachey marie_helene48 at hotmail.com writes: Hi, I have to analyse the number of provisioning trips to nestlings according to a number of biological and environmental factors. I was thinking of building a mixed-effects model with species and nestid as random effects,

Re: [R] Mixed-effects model for overdispersed count data?

2010-10-25 Thread dave fournier
According to the documentation for glmmADMB if you fit your model with a statment like fit =glmm.admb(y~Base*trt+Age+Visit, ... data=epil2,family=nbinom) and that the parameter estimates are in fit$b while their estimated standard deviations are in fit$stdbeta so presumably p

Re: [R] Mixed-effects model for overdispersed count data?

2010-10-25 Thread Ben Bolker
dave fournier otter at otter-rsch.com writes: According to the documentation for glmmADMB if you fit your model with a statment like fit =glmm.admb(y~Base*trt+Age+Visit, ... data=epil2,family=nbinom) and that the parameter estimates are in fit$b while their estimated standard