Include reference group in regression output — rating

Extract coefficients in terms of the original levels of the coefficients rather than the coded variables.

rating_table() is intended for fitted models:

plain glm objects
models obtained after refit()
models obtained after refit_glm()

For pre-refit objects (rating_refinement, restricted, smooth) use print(), summary() and autoplot() instead.

Usage

rating_table(
  ...,
  model_data = NULL,
  exposure = NULL,
  exponentiate = TRUE,
  signif_stars = FALSE,
  round_exposure = 0
)

rating_factors(
  ...,
  model_data = NULL,
  exposure = NULL,
  signif_stars = FALSE,
  exponentiate = TRUE,
  round_exposure = 0
)

Arguments

...: glm object(s) produced by glm(), refit() or refit_glm()
model_data: data.frame used to create glm object(s), this should only be specified in case the exposure is desired in the output, default value is NULL
exposure: column in model_data with exposure, default value is NULL
exponentiate: logical indicating whether or not to exponentiate the coefficient estimates. Defaults to TRUE.
signif_stars: show significance stars for p-values (defaults to FALSE)
round_exposure: number of digits for exposure (defaults to 0)

Value

Object of class riskfactor