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Build rating tables from fitted pricing models

Source: R/model_rating_table.R, R/model_rating_table_deprecated.R
rating_table.Rd

rating_table() extracts model coefficients in tariff-table form. It adds the reference level for factor variables, can exponentiate GLM coefficients into relativities, and can add exposure by risk-factor level when the model data are available.

rating_table() is intended for fitted models:

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

Usage

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

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

Arguments

...

glm object(s) produced by glm(), refit() or refit_glm()

model_data

Optional data.frame used to create the model(s). If NULL, the function tries to use model$data for each supplied model.

exposure

Logical or character. If TRUE (default), exposure is added if it can be inferred from the model. If FALSE, no exposure is added. If a character string is supplied, it is interpreted as the exposure column name.

exposure_output

Optional name for the exposure column in the output. If NULL, the original exposure column name is used.

exponentiate

logical indicating whether or not to exponentiate the coefficient estimates. Defaults to TRUE.

significance

Logical; if TRUE, show significance stars for p-values.

round_exposure

number of digits for exposure (defaults to 0)

exposure_name

Deprecated. Use exposure_output instead.

signif_stars

Deprecated. Use significance instead.

Value

Object of class "rating_table" and legacy class "riskfactor".