Displaying 20 results from an estimated 500 matches similar to: "help with glmmADMB ZI; function maximizer failed"
2013 Jan 22
1
Erro message in glmmADMB
Hello everybody,
I am using glmmADMB and when I run some models, I recieve the following
message:
Erro em glmmadmb(eumencells ~ 1 + (1 | owners), data = pred3, family =
"nbinom", :
The function maximizer failed (couldn't find STD file)
Furthermore: Lost warning messages:
Command execution 'C:\Windows\system32\cmd.exe /c
2012 May 08
4
glmmADMB
Hi there,
I am new to the package glmmadmb, but need it to perform a zero-inflated
gzlmm with a binomial error structure. I can't seem to get it to work
without getting some strange error messages.
I am trying to find out what is affecting the number of seabird calls on an
array of recorders placed at 4 sites on 6 islands. I have nightly variables
(weather and moonlight), site variables
2012 Sep 04
1
ADMB error- function maximizer failed (couldnt find STD file)
Greetings glmmADMB function users,
I am trying to run a series of models using the glmmADMB function with several different distribution families (e.g., poisson, negbinom). I am using a Optiplex 790 PC with Windows 7, 16.0 GB of RAM and a 64-bit operating system. I am running R version 2.15.0 and started out using the most recent version of glmmADMB (I believe version 7.2.15).
My data is zero
2011 Oct 09
1
glmmadmb help
[cc'ed back to r-help]
I've started to take a look, and there's nothing immediately obvious
about the problem with the fit (the warnings and errors are about a
"non-positive-definite Hessian", which usually means an
overfitted/poorly identified model) -- still working on whether there's
a way to get more useful information.
As it turns out, glmmADMB's default
2006 Dec 19
2
Problem with glmmADMB
library(glmmADMB)
#Example for glmm.admb
data(epil2)
glmm.admb(y~Base*trt+Age
+Visit,random=~Visit,group="subject",data=epil2,family="nbinom")
Gives:
Error in glmm.admb(y ~ Base * trt + Age + Visit, random = ~Visit,
group = "subject", :
The function maximizer failed
******************
R version 2.4.1 RC (2006-12-14 r40181)
powerpc-apple-darwin8.8.0
locale:
C
2008 Jul 14
0
Question regarding lmer vs glmmPQL vs glmm.admb model on a negative binomial distributed dependent variable
Hi R-users,
I intend to apply a mixed model on a set of longitudinal data, with a negative binomial distributed dependent variable, and after following the discussions on R help list I saw that more experienced people recommended using lmer (from lme4 pack), glmmPQL (from MASS) or glmm.admb (from glmmADMB pack)
My first problem: yesterday this syntax was ok, now I get this weird message (I
2011 Dec 07
2
glmmADMB not available on r-forge?
After copy and pasting the code for installation of glmmADMB package
suggested at http://glmmadmb.r-forge.r-project.org/, I receive this
message.
> install.packages("glmmADMB",
repos="http://r-forge.r-project.org",type="source")
Warning message:
In getDependencies(pkgs, dependencies, available, lib) :
package 'glmmADMB' is not available
I'm not
2005 Dec 14
3
glmmADMB: Generalized Linear Mixed Models using AD Model Builder
Dear R-users,
Half a year ago we put out the R package "glmmADMB" for fitting
overdispersed count data.
http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html
Several people who used this package have requested
additional features. We now have a new version ready.
The major new feature is that glmmADMB allows Bernoulli responses
with logistic and probit links. In addition there
2006 May 23
2
glmmADMB and the GPL -- formerly-- How to buy R.
Dear List,
Some of you have been following the discussion of the GPL and its inclusion
in the glmmADMB package we created for R users. I would like to provide
a bit of background and include an email we received from
Prof. Ripley so that everyone can be aware of how some might use the
GPL to try to force access to proprietary software. I think this is
interesting because many have voiced the
2008 Mar 29
0
AD-MB problem in package:glmmADMB
Hi here,
i recently notice the software built by otter company know as AD-MB
tools . i explore a little bit this tools under the R Package for mixed
logistics model. it is a very interesting tool. but i get several questions.
first question: i tried the R code below, and have the error , i can run
the code for switching the setting to impSamp=0 , it means i can only
run the code under
2013 Dec 12
1
censored counts and glmer/glmmADMB
dear R-users,
I have to model counts where all counts above some threshold
have been censored. In the same dataset I have too many zeroes for
a Poisson or even a negative binomial distribution to make
sense, so I would need a zero-inflated-censored negative binomial
family for use in glmer (or glmmADMB?). That seems not to exist.
my question is :
how could I add a custom-built family of
2012 Mar 29
3
r-forge build failure bafflement
I am attempting to build a package on r-forge and running into a
weird error. I have been in correspondence with the R-forge admins
and am turning to r-devel on the remote chance that someone might have
a guess as to what is going wrong or a suggestion about further
diagnostics/experiments I could try ...
The package seems to build fine on my system(s) with
R CMD build --compact-vignettes
2005 Jun 17
0
glmmADMB: Mixed models for overdispersed and zero-inflated count data in R
Dear R-users,
Earlier this year I posted a message to this list regarding
negative binomial mixed models in R. It was suggested that
the program I had written should be turned into an R-package.
This has now been done, in collaboration with David Fournier
and Anders Nielsen.
The R-package glmmADMB provides the following GLMM framework:
- Negative binomial or Poisson responses.
- Zero-inflation
2008 Apr 03
0
lmer function :method="AGQ" glmmADMB
The freely available R package glmmADMB can do Adaptive
Gaussian Quadrature for this type of model,
since it is built using AD Model Builder's random effects
module which incorporates this feature.
There is now a beta version of the software for
people using R on the Mac intel platform.
http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html
Cheers,
Dave
--
David A. Fournier
2013 Sep 25
0
weighting in glmmadmb(family='nbinom') with RE
Hello,
I was wondering if weighting has been added to glmmadmb as of yet? I found
a post about a year ago that it it hadn't been implemented yet but I was
hoping the documentation may just have not yet caught up.
Thanks,
Trevor Davies
[[alternative HTML version deleted]]
2011 Sep 03
1
help with glmm.admb
R glmmADMB question
I am trying to use glmm.admb (the latest alpha version
from the R forge website 0.6.4) to model my count data
that is overdispersed using a negative binomial family but
keep getting the following error message:
Error in glmm.admb(data$total_bites_rounded ~
age_class_back, random = ~food.dif.id, :
Argument "group" must be a character string specifying
the
2013 Sep 26
1
overdispersión en glmm
Hola!
Estoy con un problema con mis datos, tengo datos de abundancia y tengo que analizarlas con glmm. Uso la función glmmadmb() del paquete glmmADMB de R, que acepta varias familias de distribución. El problema es que al hacer los modelos, no me muestra el residual deviance ni los grados de libertad, para poder calcular la overdispersión. Alguien sabe cómo puedo calcularla en esa función? o con
2011 May 29
1
Setting max. iterations for lmer
Hello,
I hate to ask a question which is directly addressed in the documentation,
but can someone please give me an example of how to change the maximum
number of iterations used by lmer. I'm having a hard time understanding
this:
control a list of control parameters. See below for details.
control
a named list of control parameters for the estimation algorithm, specifying
only
2006 Sep 04
1
Problem with Variance Components (and general glmm confusion)
Dear list,
I am having some problems with extracting Variance Components from a random-effects model:
I am running a simple random-effects model using lme:
model<-lme(y~1,random=~1|groupA/groupB)
which returns the output for the StdDev of the Random effects, and model AIC etc as expected.
Until yesterday I was using R v. 2.0, and had no problem in calling the variance components of the
2006 Feb 09
1
glmm.admb - bug and possible solution??
Dear Dr Skaug and R users,
just discovered glmm.admb in R, and it seems a very useful tool.
However, I ran into a problem when I compare two models:
m1<-glmm.admb(survival~light*species*damage, random=~1, group="table",
data=bm, family="binomial", link="logit")
m1.1<-glmm.admb(survival~(light+species+damage)^2, random=~1,
group="table", data=bm,