Message-ID: <b6b3acdc-6226-3173-f66b-cc4c93a18a3c@uniovi.es>
Date: 2019-05-11T07:27:02Z
From: JUAN PEDRO GONZALEZ VARO
Subject: factor importance in glmm with a two-way ANOVA structure
In-Reply-To: <a703d3b7-33d1-4259-d57a-0743249a0de3@mcmaster.ca>
Hi
I'm running a glmm with negative binomial family, because my dataset
has many zeros, yet, they are not structural zeros.
The model design is a 2-way ANOVA: habitat_type * season
In a glm, I can assess the relative importance of each factor
through the deviances (null and residual deviances of the model, and
partial deviances accounted by each factor).
The analogous way in a LMM would be the Sum of Squares.
But, how can I assess the performance (or variance accounted) by
different factors in a glmm?
I've been searching a lot in internet but I haven't found anything
clear about it.
I hope you can provide some advice on it.
Thanks!
Jp