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...you have" I guess that the problem comes from the nature of my observation whih are frequencies rather than 0/1 per unit Does someone know if a multinomial model fitted with MCMCglmm can handdle those frequencies table and how to specify the good G/R variance structures? Regards Am?lie Vaniscotte

Dear all, I am trying to model variation of distribution of species assemblages according to environmental variables. For that I use a log linear multinomial regression. In order to select variables that mostly discriminate the assemblages, I tried to apply a hierarchical partitioning protocol to my data set. For that I have adapted the all.regs() for multinomial model. The problem is that I

Hi, I have a trouble trying to use \href in a rd doc. See example below: \references{ \href{http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2702787/}{Vaniscotte A., Pleydell D., Raoul F., Quere J.P., Coeurdassier M., Delattre P., Li T., Qian W., Takahashi K., Weidmann J.C., Qiu J., Giraudoux P. 2009 Modelling and spatial discrimination of small mammal assemblages: an example from western Sichuan (China). Ecological Modelling, 220: 1218-1231.} } The...

...tinomial glmm, so if you find out anything I'd be happy to hear more about it! Based on what I've found so far it seems like doing a multinomial glmm is not very straightforward, unfortunately... Best, Steve Politzer-Ahles Message: 94 > Date: Wed, 12 Sep 2012 09:47:12 +0200 > From: Vaniscotte <vanamelie@gmail.com> > To: r-help@r-project.org > Subject: [R] multinomial MCMCglmm > Message-ID: <50503E00.4060600@gmail.com> > Content-Type: text/plain; charset=ISO-8859-1; format=flowed > > Dear all, > > I would like to add mixed effects in a multinomial mod...

...hange.com might be more suitable for your query. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sun, Mar 4, 2018 at 4:10 AM, Vaniscotte Am?lie <vanamelie at gmail.com> wrote: > Dear R users, > > > I am using the *mgcv package* to model the ratio of hectares of damaged > culture by wild boar in french departments according to some > environmental covariates. I used a _Beta distribution_ for the response. &g...

Dear R users, I am using the *mgcv package* to model the ratio of hectares of damaged culture by wild boar in french departments according to some environmental covariates. I used a _Beta distribution_ for the response. For each department, we estimated the damaged in 3 different culture types (??Culture??). Our statistical individual are therefore the department crossed by the culture

...mparison and selection using AIC. In the lda function of the MASS library, the maximum likelihood of the function is not given in the output and the script is not available. Do anyone know how to extract or compute the maximum likelihood used in the lda function? Thanks for your idea, Am?lie Vaniscotte

...e same row (28). So, this is still a black box for me. Even if as it is mentionned in the help page of mda(), "the 'weights' argument need never be accessed", do you think it's possible to avoid this duplicated sampling? Thanks in advance for your ideas, Amelie Vaniscotte University of Franche-comt? 25000 Besan?on

Thanks for your answers Stephen and Ben, I hope I am posting on the correct list now. I managed so far to run the multinomial model with random effect with the following command: MCMCglmm(fixed=cbind(Apsy,Mygl,Crle,Crru,Miag,empty) ~ habitat:trait,random=~idh(trait):mesh,family="multinomial12", data=dataA,rcov=~trait:units) (where multiple responses are different species, Habitat