| parse_model {tidypredict} | R Documentation |
It parses a fitted R model's structure and extracts the components needed to create a dplyr formula for prediction. The function also creates a data frame using an specific format so that other functions in the future can also pass parsed tables to a given formula creating function.
parse_model(model)
model |
An R model object. It currently supports lm(), glm() and randomForest() models. |
library(dplyr)
df <- mutate(mtcars, cyl = paste0("cyl", cyl))
model <- lm(mpg ~ wt + cyl * disp, offset = am, data = df)
parse_model(model)