similar to: Course in AD Model Builder; integrating ADMB with R

Displaying 20 results from an estimated 4000 matches similar to: "Course in AD Model Builder; integrating ADMB with R"

2008 Mar 29
0
AD-model builder under R for mix logistics model, a problem.
the code is list below , i can run this code for laplace approximation but not importance sampling. the code work properly if use impSamp=0 , but error for any other number >0 . could you guys help me out. thanks so much ! source("http://www.mi.uib.no/~skaug/cash/lesaffre_dat.s") library(glmmADMB) fit_glmmADMB_ip <-
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,
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 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
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
2005 Mar 23
1
Negative binomial GLMMs in R
Dear R-users, A recent post (Feb 16) to R-help inquired about fitting a glmm with a negative binomial distribution. Professor Ripley responded that this was a difficult problem with the simpler Poisson model already being a difficult case: https://stat.ethz.ch/pipermail/r-help/2005-February/064708.html Since we are developing software for fitting general nonlinear random effects models we
2009 Jan 07
0
fixed effect significance_NB mixed models_further pursuit
7 Jan 09 Hello, I am using R version 2.7.0 in a Windows XP context. I am also using the glmm.admb package (created by Dave Fournier, Hans Skaug, and Anders Nielson) to run mixed-effects negative binomial models. To the best of my knowledge and ability, I have searched and studied the R-help, R-sig-mixed models, and ADMB NBMM for R (through Otter Research Ltd) list servs; R help
2010 May 31
1
running admb from R using system()
Hi I'm trying to run an admb model from R by using the system () command. The admb model runs fine when running it from the admb command line or when using emacs. However when I try it with system() then R crashes every time. And I tried using the R command line and RGui and in both it crashes. I also tried it from different computers. What I do is I first set the directory where I keep
2005 Oct 12
0
Mixed model for negative binomial distribution (glmm.ADMB)
Dear R-list, I thought that I would let some of you know of a free R package, glmm.ADMB, that can handle mixed models for overdispersed and zero-inflated count data (negativebinomial and poisson). It was built using AD Model Builder software (Otter Research) for random effects modeling and is available (for free and runs in R) at: http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html I
2011 Nov 17
2
RV: Reporting a conflict between ADMB and Rtools on Windows systems
De: Rubén Roa Enviado el: jueves, 17 de noviembre de 2011 9:53 Para: 'Users@admb-project.org' Asunto: Reporting a conflict between ADMB and Rtools on Windows systems Hi, I have to work under Windows, it's a company policy. I've just found that there is a conflict between tools used to build R packages (Rtools) and ADMB due to the need to put Rtools compiler's
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 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
2006 Jan 26
1
Automatic differentiation (was: Re: D(dnorm...)?)
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. best regards, hans > think AD Model Builder is mainly used for fisheries assessment in North
2006 Feb 08
1
nested random effects in glmm.admb
Hello all, In a previous posting regarding glmm.admb it is stated that glmm.admb can handle 2 nested random effects. I can only fit a single random term at the moment, and wondered if anyone could provide me with some information on how to specify a model with 2 (nested or cross-classified) random terms? Thanks, Jarrod.
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
2006 Feb 24
1
SE of parameter estimates in glmm.admb
Dear R users, Does anyone know how to get standard errors of the parameter estimates in glmm.admb? Thanks, Istvan
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
2008 Nov 25
1
AD Model Builder now freely available
Hi All, Following Mike Praeger's posting on this list, I'm happy to pass on that AD Model Builder is now freely available from the ADMB Foundation. http://admb-foundation.org/ Two areas where AD Model builder would be especially useful to R users are multi-parmater smooth optimization as in larg scale maximum likelihood estimation and the analysis of general nonlinear random
2007 May 30
1
Static and dynamic graphics course, July 2007, Salt Lake City
We're pleased to announce a one day course covering static and dynamic graphics using R, ggplot and GGobi. The course will be held just before the JSM, on Saturday, 28 July 2007, in Salt Lake City. The course will be presented by Dianne Cook and Hadley Wickham. In the course you will learn: * How to build presentation quality static graphics using the R package, ggplot. We will cover plot
2017 Sep 04
0
JSM 2018 Invited Session Proposals on Statistical Graphics and Data Visualization Due by September 7, 2017
Dear Colleagues, If you work in the statistical graphics and/or data visualization fields, please consider organizing an invited session for the JSM 2018 conference in Vancouver, whose theme is ?#LeadWithStatistics.? ASA's Section on Statistical Graphics will sponsor 3 invited sessions at JSM 2018, with a further 1-2 proposals having the potential to be included in the JSM 2018 conference