Description Usage Arguments Value
Repeatedly fits a centrality model to a binary interaction network to return a probability matrix
1 2 | FitCentrality(list, N_runs = 10, maxit = 10000,
method = "Nelder-Mead", ExtraSettings = NULL)
|
list |
Network List |
N_runs |
Number of start points 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 'C_par', best fitting parameters, C_ProbsMatrix, the probability matrix
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