Esimation of iteractions probability using the indirect matching centrality approach as described in Rohr (2014) and Rohr (2016).
an object of the class
a logical, should extra information be reported on progress?
list that can be used to control the behavior of the algorithm including the value for initial temperature and maximum runiing time(see
fitIMC implements the indirect matching-centrality method as described in
Rohr 2014 and Rohr 2016. Briefly, the method uses latent traits to fit
interactions. The first step requires the definition of two sets of interacting
species: set1 and set2 (respectively of size
The first category of latent trait are the matching traits. (to be developped)
The second category include the centrality terms. (to be developped).
Latents traits are buitl under certain topological constraints:
1- all vectors belongs to the orthogonal basis of the unit vector.
2- all matching vector of a particluar set of specues are orthogonal to each other.
An object of class alienFit.
Rohr, R. P. & Bascompte, J. Components of Phylogenetic Signal in Antagonistic and Mutualistic Networks. Am. Nat. 184, 556–564 (2014).
Rohr, R. P., Naisbit, R. E., Mazza, C. & Bersier, L.-F. Matching-centrality decomposition and the forecasting of new links in networks. Proc. R. Soc. B Biol. Sci. 283, 20152702 (2016).
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