Function to search for starting values — search_starting

The function takes a vector of starting values. These will then be adjusted by adding a random unform value between -1 and 1 multiplied by an adjustment multiplier. The function then evaluates the log-likelihood for each set of starting values and returns the specified number of best fitting starting values.

Usage

search_starting_values(
  log_lik,
  starting_values,
  N = 10000,
  return = 10,
  adjustment_multiplier = 1
)

Arguments

log_lik: A log likelihood function
starting_values: A vector of starting values. Note: Named vectors are ignored. The startign values must be locally bound in the log-likelihood function to work correctly.
N: The number of starting value candiates to use. Default is 10,000
return: Number of vectors to return
adjustment_multiplier: An adjustment multiplier for the random uniform adjustment matrix. The default value is 1.

Value

A list of return number of parametrs