I didn't know that! Now all makes sense. I thought the value corresponded
to the actual estimate of the parameter. So, for the intercerpt it's the
same?

El sáb., 12 de oct. de 2019 a la(s) 04:54, HADFIELD Jarrod (
j.hadfi...@ed.ac.uk) escribió:

> Hi,
>
> The random slopes are deviations. You need to add the fixed effect
> associated with x to get the actual slopes. Does this deal with your
> reservations?
>
> Cheers,
>
> Jarrod
>
> On 12 Oct 2019, at 08:18, Oscar Inostroza <oskinostr...@gmail.com> wrote:
>
> Hi,
> thank you for your attention. My data consists of 1820 observations
> (species) grouped in 11 levels (I know that it is a lot!). I mean "crazy"
> estimates because if I run the models separately for each level (i.e.
> trimmed the database at each level), there is a very strong positive
> relationship between x and y. However, when running the full model, the
> slopes and intercepts are very different (e.g. negative or null slopes).
>
> El sáb., 12 de oct. de 2019 a la(s) 03:51, HADFIELD Jarrod (
> j.hadfi...@ed.ac.uk) escribió:
>
>> Hi Oscar,
>>
>> The syntax and prior look fine. How many levels of group are there and
>> what do you mean by crazy?
>>
>> Cheers,
>>
>> Jarrod
>>
>>
>> > On 12 Oct 2019, at 04:54, Oscar Inostroza <oskinostr...@gmail.com>
>> wrote:
>> >
>> > I'm trying to run a mixed phylogenetic model using the function in the
>> > MCMCglmm R package of the same name. In this model, I want to estimate
>> > slopes and intercepts for each level of a given variable (modeled as a
>> > random effect). I tried to run the model with the following code.
>> However,
>> > the estimates of slopes and intercepts for the random effect are crazy!
>> > (i.e. when running separate models for each level, the results are
>> > reasonable) There is something wrong with my code? (in the syntax of the
>> > model, or likely in the prior specification)
>> >
>> > prior<- list(G=list(G1=list(V=1, nu=0.002), G2=list(V=diag(2), nu=2,
>> > alpha.mu= rep(0,2), alpha.V=diag(1000,2,2))), R=list(V=1, nu=0.002))
>> >
>> > model<-MCMCglmm(y~x, random=~phylo +
>> >
>> us(1+x):group,family="gaussian",ginverse=list(phylo=inv.phylo$Ainv),prior=prior,data=data,nitt=nitt,burnin=burn,thin=thin,
>> > pr=TRUE)
>> >
>> > Cheers
>> >
>> > p.s the same model, but in the syntax used by brms has the form:
>> >
>> > model <- brm(y ~ x +(1|phylo)+(1+x|group), cov_ranef = list(phylo =
>> A)...
>> >
>> > (But it's too slow for my amount of data)
>> >
>> > --
>> > Oscar
>> >
>> > [[alternative HTML version deleted]]
>> >
>> > _______________________________________________
>> > R-sig-phylo mailing list - R-sig-phylo@r-project.org
>> > https://stat.ethz.ch/mailman/listinfo/r-sig-phylo
>> > Searchable archive at
>> http://www.mail-archive.com/r-sig-phylo@r-project.org/
>>
>> The University of Edinburgh is a charitable body, registered in Scotland,
>> with registration number SC005336.
>>
>
>
> --
> Oscar Inostroza Michael
> Biólogo
> Magíster Ciencias (m) Zoología
> Programa Doctorado en Sistemática y Biodiversidad
> Laboratorio de Ecología Evolutiva y Filoinformática
> Facultad de Ciencias Naturales Y Oceanográficas
> Universidad de Concepción
> Barrio Universitario s/n, Casilla 160-C
> Concepción, CHILE
>
> Fono Oficina: (56) 41 - 220 – 7341
>
> e-mail: oskinostr...@gmail.com
>            oscarinostr...@udec.cl
>
> Pagina Web: http://phyloevolecol.cl/inostroza-michael/
>
>
>

-- 
Oscar Inostroza Michael
Biólogo
Magíster Ciencias (m) Zoología
Programa Doctorado en Sistemática y Biodiversidad
Laboratorio de Ecología Evolutiva y Filoinformática
Facultad de Ciencias Naturales Y Oceanográficas
Universidad de Concepción
Barrio Universitario s/n, Casilla 160-C
Concepción, CHILE

Fono Oficina: (56) 41 - 220 – 7341

e-mail: oskinostr...@gmail.com
           oscarinostr...@udec.cl

Pagina Web: http://phyloevolecol.cl/inostroza-michael/

        [[alternative HTML version deleted]]

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