skeweDF_auto: SkeweDF Auto Helper Function
In SkeweDF: Optimization of Skewed Distributions with Birth-Death Processes

This function will automatically optimize parameters for an empirical dataset given a model function and generate plots and tables

skeweDF_auto(
  title = "Dataset",
  data,
  xlab = "Random Variable",
  param_bounds,
  model_fn_name,
  left_trunc = 1,
  right_trunc = left_trunc + length(data) - 1,
  n_cores = 1
)

`title`	Character vector indicating title of the empirical dataset, this will be present on every plot, this also determines the name of the folder where plots will be
`data`	Vector of observed values
`xlab`	Character vector indicating x axis label of plots, indicates what the random variable is
`param_bounds`	A list of sequences which indicate space where parameters should be generated and fit
`model_fn_name`	Character vector used to indicate name of model function used for optimization
`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
`n_cores`	Integer used to indicate number of cores to be used for this function if a socket cluster object is not defined.