On 7/28/06, Gregor Gorjanc [EMAIL PROTECTED] wrote:
Ben Bolker bolker at ufl.edu writes:
...
I haven't tried it, but you could also consider using
a Poisson-lognormal (rather than neg binomial, which is Poisson-gamma)
distribution, which might make this all work rather well
in lmer:
To whom it may concern:
I have a question about how to appropriately conduct an lmer analysis for
negative binomially distributed data. I am using R 2.2.1 on a windows machine.
I am trying to conduct an analysis using lmer (for non-normally distributed
data and both random and
I think you should use glmm.admb.
library(glmmADMB)
?glmm.admb
glmm.admb package:glmmADMB R Documentation
Generalized Linear Mixed Models using AD Model Builder
Description:
Fits mixed-effects models to count data using Binomial, Poisson or
negative
Tracy Feldman tracysfeldman at yahoo.com writes:
To whom it may concern:
I have a question about how to appropriately conduct an lmer analysis for
negative binomially distributed
data. I am using R 2.2.1 on a windows machine.
I am trying to conduct an analysis using lmer (for
Ben Bolker bolker at ufl.edu writes:
...
I haven't tried it, but you could also consider using
a Poisson-lognormal (rather than neg binomial, which is Poisson-gamma)
distribution, which might make this all work rather well
in lmer:
www.cefe.cnrs.fr/esp/TBElston_Parasitology2001.pdf
