FitCentrality function

Fit Centrality Model

Repeatedly fits a centrality model to a binary interaction network to return a probability matrix

FitCentrality(
  list,
  N_runs = 10,
  maxit = 10000,
  method = "Nelder-Mead",
  ExtraSettings = NULL
)

Arguments

• 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()

Returns

Network list with added 'C_par', best fitting parameters, C_ProbsMatrix, the probability matrix