Optimiser wrapper for network models
Optimiser(i = NULL, maxit = 10000, method = "Nelder-Mead", A, N_p,
fixedSt_P = c(), N_unif_P = 0, func, ExtraSettings = NULL)RNG Seed to set
Maximum number of iterations to be passed to optim (default is 10000)
Optimiser method to pass to optim. Default is
Interaction Presence-Absence matrix
Number of parameters to draw from a normal distribution
Vector of fixed parameters to pass
Number of parameters to take from a uniform distribution
Function to optimiser
Additional setting to pass to control
A 'fit' object form optim, with a few of the input parameters attached.