Coef TMB Analyses — coef_profile.mb

Coefficients for fixed parameters from an ML based MB analyses averaged by IC weights.

# S3 method for class 'mb_analyses'
coef_profile(
  object,
  param_type = "fixed",
  include_constant = TRUE,
  conf_level = getOption("mb.conf_level", 0.95),
  estimate = getOption("mb.estimate", median),
  parallel = getOption("mb.parallel", FALSE),
  beep = getOption("mb.beep", TRUE),
  ...
)

Arguments

object: The mb_analyses object.
param_type: A flag specifying whether 'fixed', 'random' or 'derived' terms.
include_constant: A flag specifying whether to include constant terms.
conf_level: A number specifying the confidence level. By default 0.95.
estimate: The function to use to calculate the estimate for Bayesian models.
parallel: A flag indicating whether to using parallel backend provided by foreach.
beep: A flag indicating whether to beep on completion of the analysis.
...: Not used.

Value

A tidy tibble of the coeffcient terms with the model averaged estimate, the Akaike's weight and the proportion of models including the term.