Run Likelihood Profile

Usage

do_likelihood_profile(
  data,
  parameters,
  mapping,
  random = NULL,
  what,
  idx = NULL,
  min_val,
  max_val,
  inc = 0.05
)

Arguments

data: data list from model
parameters: parameter list from model
mapping: mapping list from model
random: character vector of random effects to estimate
what: parameter name we want to profile
idx: Index for an parameter array, pointing to the value we want to map off (index is relative to a flattened array)
min_val: minimum value of profile
max_val: maximum value of profile
inc: increment value between min and max value

Value

Returns a list of likelihood profiled values for each data component with their respective dimensions (e.g., likelihood profiles by fleet, region, year, etc.) as well likelihood profiles for each data component, aggregated across all their respective dimensions.