View source: R/SkeweDF_functions.R
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.
1 2 3 4 5 6 7 8 | global_fit_RGHD_ratio(
param_bounds,
data,
iter,
weighted_rt = FALSE,
n_cores = 1,
clust
)
|
param_bounds |
A list of sequences which indicate space where parameters should be generated and fit |
data |
Vector of observed values |
iter |
Integer indicating number of iterations to run grid search. Increasing iterations will increase decimal point precision of output parameters. |
weighted_rt |
Boolean used to determine if the weighted right-tail cumulative distribution function should be used or not. |
n_cores |
Integer used to indicate number of cores to be used for this function if a socket cluster object is not defined. |
clust |
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. |
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