Unified NA omission wrapper function for recipes
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.
Examples
case_death_rate_subset %>%
epi_recipe() %>%
step_epi_naomit()
#>
#> ── Epi Recipe ──────────────────────────────────────────────────────────────────
#>
#> ── Inputs
#> Number of variables by role
#> raw: 2
#> geo_value: 1
#> time_value: 1
#>
#> ── Operations
#> 1. • Removing rows with NA values in: all_predictors()
#> 2. • Removing rows with NA values in: all_outcomes()