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

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

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.

...

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.