Description Usage Arguments Details Value
Repeatedly fits a latent trait model to a binary interaction network to return a probability matrix
1 2 | FitMatching(list, N_runs = 10, maxit = 10000, method = "Nelder-Mead",
ExtraSettings = NULL)
|
list |
Network List |
N_runs |
Number of 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() |
The optimiser is started at values derived from the row-sums and column-sums of a CCA analysis, which correspond closely to latent traits by matching closely related species together.
The k2 and lambda parameters are started from points drawn from a uniform distribution 0:1.
Network list with added 'M_par',the best fitting parameters, 'M_ProbsMatrix', the probability matrix
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