This function generates a single set of optimized parameters and Psi Criterion for a given function within specified starting parameter bounds. This function uses Limited Memory BFGS as it's gradient descent algorithm.
global_fit_RGHD_ratio(
param_bounds,
data,
iter,
weighted_rt = FALSE,
n_cores = 1,
clust
)A list of sequences which indicate space where parameters should be generated and fit
Vector of observed values
Integer indicating number of iterations to run grid search. Increasing iterations will increase decimal point precision of output parameters.
Boolean used to determine if the weighted right-tail cumulative distribution function should be used or not.
Integer used to indicate number of cores to be used for this function if a socket cluster object is not defined.
socket cluster object from 'parallel::makeCluster()'. This is used if you have already generated a socket cluster object and would like to run this functoin on it. If no object is defined, one will be made for this function call.