Optimiser function

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
)

Arguments

• i: RNG Seed to set
• maxit: Maximum number of iterations to be passed to optim (default is 10000)
• method: Optimiser method to pass to optim. Default is
• A: Interaction Presence-Absence matrix
• N_p: Number of parameters to draw from a normal distribution
• fixedSt_P: Vector of fixed parameters to pass
• N_unif_P: Number of parameters to take from a uniform distribution
• func: Function to optimiser
• ExtraSettings: Additional setting to pass to control

Returns

A 'fit' object form optim, with a few of the input parameters attached.