factor_add: Add predictor to the current model formula

In realgabon/insuRglm: Tools for GLM Modeling in Insurance Context

Add predictor to the current model formula

Description

Adds the predictor to the list of predictors. These will be used in model formula when model_fit is called.

Usage

factor_add(setup, var_symbol)

Arguments

setup	Setup object. Created at the start of the workflow. Usually piped in from previous step.
var_symbol	Unquoted symbol. Predictor to be added. Must be present in the modeling dataset.

Value

Setup object with updated attributes.

Examples

require(dplyr) # for the pipe operator
data('sev_train')

setup <- setup(
  data_train = sev_train,
  target = 'sev',
  weight = 'numclaims',
  family = 'gamma',
  keep_cols = c('pol_nbr', 'exposure', 'premium')
)

print(setup)

# not fitted yet
modeling <- setup %>%
  factor_add(pol_yr) %>%
  factor_add(agecat)

print(modeling)

realgabon/insuRglm documentation built on Jan. 2, 2023, 2:51 a.m.