Variation Partitioning For GLM Or GAM
Perform variance partitioning for binomial GLM or GAM based on the deviance of two groups or predicting variables.
ecospat.varpart (model.1, model.2, model.12)
GLM / GAM calibrated on the first group of variables.
GLM / GAM calibrated on the second group of variables.
GLM / GAM calibrated on all variables from the two groups.
The deviance is calculated with the adjusted geometric mean squared improvement rescaled for a maximum of 1.
Return the four fractions of deviance as in Randin et al. 2009: partial deviance of model 1 and 2, joined deviance and unexplained deviance.
Christophe Randin firstname.lastname@example.org, Helene Jaccard and Nigel Gilles Yoccoz
Randin, C.F., H. Jaccard, P. Vittoz, N.G. Yoccoz and A. Guisan. 2009. Land use improves spatial predictions of mountain plant abundance but not presence-absence. Journal of Vegetation Science, 20, 996-1008.
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