FitBothMandC | R Documentation |
Fit a model that contains both a trait-matching and a centrality term based on Rohr et al. (2016)
FitBothMandC(
list,
N_runs = 10,
maxit = 10000,
method = "Nelder-Mead",
ExtraSettings = NULL
)
list |
Network List |
N_runs |
Number of different start points for k2 and lambda to try. The best (maximum likelihood) half will be used to construct the probability matrix |
maxit |
Default = 10'000 |
method |
Passed to optim, default = 'Nelder-Mead' |
ExtraSettings |
Other control settings to pass to optim() |
Network list with added 'B_par',the best fitting parameters, 'M_ProbsMatrix', the probability matrix
Rohr, R.P., Naisbit, R.E., Mazza, C. & Bersier, L.-F. (2016). Matching-centrality decomposition and the forecasting of new links in networks. Proc. R. Soc. B Biol. Sci., 283, 20152702
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