An experimental R package to fit a multispecies extension of maxent (more specific maxnet implementation) using its equivalence with Poisson and Gibbs point process.
Fithian and Hastie 2014 revealed the equivalence between Phillips' MaxEnt model, a Logistic regression with infinitely many "background points" a Poisson point process whose natural multi-class extension is Gibbs point process. In the same year, Baddeley et al. proposed to use a similar equivalence between Logistic regression and a Gibbs point process which was implemented in the R package spatstat.core
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This experimental package aim to combine the two paper and test the idea of using Gibbs point process to fit a multispecies version of MaxEnt.
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