Optimiser | R Documentation |
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
)
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 |
A 'fit' object form optim, with a few of the input parameters attached.
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