Ben Dave all,
I'm a user of ADModel (product of Otter Research)
Just a word to say that for maximisation, I always rely on Admodel.
It's really fast (amazing when you have an important number of parameters),
can be used either as a standalone application or as DLL
I do use GAUSS (Aptech), R
Ben Bolker said the following on 2005-04-12 21:40:
This is a little bit tricky (nonlinear, mixed, count data ...) Off the
top of my head, without even looking at the documentation, I think your
best bet for this problem would be to use the weights statement to allow
the variance to be
I *think* (but am not sure) that these guys were actually (politely)
advertising a commercial package that they're developing. But, looking at
the web page, it seems that this module may be freely available -- can't
tell at the moment.
Ben
On Wed, 13 Apr 2005, Henric Nilsson wrote:
Ben
I *think* (but am not sure) that these guys were actually (politely)
advertising a commercial package that they're developing. But,
looking at
the web page, it seems that this module may be freely available -- can't
tell at the moment.
Ben
The Software for negative binomial mixed models
This is a little bit tricky (nonlinear, mixed, count data ...) Off the
top of my head, without even looking at the documentation, I think your
best bet for this problem would be to use the weights statement to allow
the variance to be proportional to the mean (and add a normal error term
for
Dear list members,
I want to fit a nonlinear mixed model using the nlme command. My dependent
variable takes the form of event counts for different countries over a
number of years, and hence I was going to fit a mixed effects negative
binomial model. The problem, as far as I can glean from
