local_fit_RGHD_ratio: Local optimization of the 2m-RGHD function given empirical...
In SkeweDF: Optimization of Skewed Distributions with Birth-Death Processes

This function generates a table 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.

local_fit_RGHD_ratio(
  param_bounds,
  data,
  weighted_rt = FALSE,
  par_chunk = 100,
  par_chunk_size = 10,
  n_cores = 1,
  clust,
  left_trunc = 1,
  right_trunc = left_trunc + length(data) - 1
)

`param_bounds`	A list of sequences which indicate space where parameters should be generated and fit
`data`	Vector of observed values
`weighted_rt`	Boolean used to determine if the weighted right-tail cumulative distribution function should be used or not.
`par_chunk`	Integer used to indicate number of optimization chunks to be run. Total number of rows in the output table = par_chunk * par_chunk_size
`par_chunk_size`	Integer used to indicate number of starting parameters to be generated and optimized in a given chunk. Total number of rows in the output table = par_chunk * par_chunk_size
`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.
`left_trunc`	Int used to determine starting index of model to use for optimization
`right_trunc`	Int used to determine ending index of model to use for optimization