Unified NA omission wrapper function for recipes

Usage

step_epi_naomit(recipe)

Arguments

recipe: Recipe to be used for omission steps

Value

Omits NA's from both predictors and outcomes at training time to fit the model. Also only omits associated predictors and not outcomes at prediction time due to lack of response and avoidance of data loss. Given a recipe, this step is literally equivalent to

 recipe %>%
   recipes::step_naomit(all_predictors(), skip = FALSE) %>%
   recipes::step_naomit(all_outcomes(), skip = TRUE)

Examples

covid_case_death_rates %>%
  epi_recipe() %>%
  step_epi_naomit()
#> Error in UseMethod("epi_recipe"): no applicable method for 'epi_recipe' applied to an object of class "c('tbl_df', 'tbl', 'data.frame')"