Model averaging in dynamic occupancy models

[Tomaz N. Melo]

I have a question and please forgive me if it was the subject of another topic. I'm doing dynamic occupancy models and want to know how best way to do model averaging in case two models have dAICc < 2?

Best regards,

Tomaz

[Marc J. Mazerolle]

Hi Tomaz,

There are a few ways to go about it. You could use the AICcmodavg
package to model-average predictions using the entire model (i.e.,
modavgPred( ) or compare predictions between two groups of interest
(modavgEffect( )). See the help files for these two functions for
examples. A different approach could consist in interpreting both
models, given they have very similar support.

Best,

Marc

--
____________________________________
Marc J. Mazerolle
Professeur agrégé et directeur du bac. en environnements naturels et aménagés
Département des sciences du bois et de la forêt
2405 rue de la Terrasse
Université Laval
Québec, Québec G1V 0A6, Canada
Tel: (418) 656-2131 ext. 407120
Email: marc.ma...@sbf.ulaval.ca

Veuillez noter que je suis en télétravail. Le meilleur moyen de me rejoindre est par courriel.

-------- Message initial --------
De: Tomaz N. Melo <tomazram...@gmail.com>
Répondre à: unma...@googlegroups.com
À: unmarked <unma...@googlegroups.com>
Objet: [unmarked] Model averaging in dynamic occupancy models
Date: Thu, 19 Aug 2021 10:01:15 -0700

[Externe UL*]

[Tomaz N. Melo]

Hi Marc,

Thank you very much for the information. I will perform these functions.

Best Regards,