Dear Istvan,
An example
library(glmmADMB)
tt = glmm.admb(y ~ Base * trt + Age, random = ~Visit,group = "subject", data
= epil2, family = "nbinom")
To print the covariance matrix of the random effects vector (and the std of
those estimates, see bottom) :
print.glmm.admb(tt,sd_S_print=TR
Dear R list,
A problem with the package glmmADMB was pointed out by R. Bagchi some time ago.
We have now fixed the problem and a new version of the package can be downloaded
from the usual place:
http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html
The likelihood values that previously w
Hi Jarrod ,
I think you are right that neither nested or cross-classified models can be
specified
in glmm.admb() as it stands (except in ad-hoc ways). This is not a restriction
of the underlying
software AD Model Builder, but it is a feature of how I wrote the R-interface.
I will try to figure o
Dear Alberto,
There are fisheries people also in Europe using AD Model Builder (Denmark and
England for instance),
but you are probably right that it is more widespread in North America. There
is also effort
going on where people try to make assessment models written in ADMB callable
from R.
b
/glmmadmb/glmmADMB.html
The package is based on the software ADMB-RE, but the full
unrestricted R-package is made freely available by Otter Research Ltd
and does not require ADMB-RE to run with user supplied data.
I you will find this useful,
Hans Skaug
--
Hans Skaug
Department of Mathematics
commands:
glmm.admb(y~Base*trt+Age+Visit,random=~1,group="subject",data=epil2)
glmm.admb(y~Base*trt+Age+Visit,random=~Visit,group="subject",data=epil2)
I will be happy to receive feedback on the function glmm.admb().
Best regards,
Hans Skaug
Reference:
Booth J.G.; Casella G.; Fri
