[R-sig-ME] multivariate mixed nested model

[Ludovico Frate]

Hi Claudio,

both packages can deal with different family, i.e. poisson and negative binomial for counts, beta for proportion, normal...

Ragards,

Ludovico



Dott. For. Ludovico Frate, Ph.D.

Environmetrics Lab,
Dipartimento di Bioscienze e Territorio - Università degli Studi del Molise.
Contrada Fonte Lappone, 86090 - Pesche (IS) - ITALIA.
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________________________________
Da: Claudio <oppela at gmail.com>
Inviato: lunedì 30 gennaio 2017 15.49
A: Ludovico Frate; r-sig-mixed-models at r-project.org
Oggetto: Re: [R-sig-ME] multivariate mixed nested model

Hi Ludovico,
thanks for your suggestion. However, it seems that they both deal with
abundance data, while I measured body features.
best regards
Claudio

Il giorno lun, 30/01/2017 alle 06.22 +0000, Ludovico Frate ha scritto:
> Hi Claudio, for multivariate data see the mvabund package as well as
> the boral package.
> Regards,
> Ludovico
>
> Ottieni Outlook per Android
>
>
> Da: Claudio
> Inviato: sabato 28 gennaio, 16:45
> Oggetto: [R-sig-ME] multivariate mixed nested model
> A: r-sig-mixed-models at r-project.org
> Hi all. I collected six body features (bf1-bf6)from three populations
> of a salamander and from two populations of another sister species of
> salamander. I would evaluate how the species (fixed) and population
> belonging (random) affect the body features, by comparing models
> built with lme4. For some models, I also want to include bf6 as
> covariate. Thus, in case of univariate analyses, some models, for
> example, could be: mo1
>

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