[R-sig-ME] multivariate mixed nested model

Ludovico Frate ludovicofrate at hotmail.it
Mon Jan 30 15:57:04 CET 2017

Hi Claudio,

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



Dott. For. Ludovico Frate, Ph.D.

Environmetrics Lab,
Dipartimento di Bioscienze e Territorio - Università degli Studi del Molise.
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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

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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