[Biomod-commits] Explanatory Variables importance stepwise selection

Wilfried Thuiller wilfried.thuiller at ujf-grenoble.fr
Tue Apr 9 17:57:50 CEST 2013

Dear Joaquín,
Each algorithm has its own variable selection or optimization. For instance, both GLM and GAM are implemented with a stepwise procedure. Variables that are not important in terms of explained deviance (and resulting AIC of the models) are not kept. This is the same for the tree-based approaches. 
The variable importance procedure that biomod extracts,  which is consistent through the different algorithms, are only on the selected variables for each model. It explain why sometimes, the variable importance is 0 for some models (because the variable was not selected by the models). 
Hope it clarifies your thoughts. 

Le 9 avr. 2013 à 17:52, Joaquin DL <jduquelazo at gmail.com> a écrit :

> Dear all,
> Does Biomod any procedure to delete not relevant variables from the
> explanatory dataset?
> I know that there are a function "getModelsVarImport" where i can see the
> importance of each variable in each model. But It would be nice to have a
> function that highlight the variables to delete in each run.
> I am working with the last biomod2 version.
> Thanks
> Joaquín
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Dr. Wilfried Thuiller
Laboratoire d'Ecologie Alpine, UMR CNRS 5553
Université Joseph Fourier
BP53, 38041 Grenoble cedex 9, France
tel: +33 (0)4 76 51 44 97
fax: +33 (0)4 76 51 42 79

Email: wilfried.thuiller at ujf-grenoble.fr
Personal website: http://www.will.chez-alice.fr
Team website: http://www-leca.ujf-grenoble.fr/equipes/emabio.htm

ERC Starting Grant TEEMBIO project: http://www.will.chez-alice.fr/Research.html

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