Fit a apd_hat_values

apd_hat_values() fits a model.

apd_hat_values(x, ...)

# S3 method for default
apd_hat_values(x, ...)

# S3 method for data.frame
apd_hat_values(x, ...)

# S3 method for matrix
apd_hat_values(x, ...)

# S3 method for formula
apd_hat_values(formula, data, ...)

# S3 method for recipe
apd_hat_values(x, data, ...)

Arguments

x	Depending on the context: A data frame of predictors. A matrix of predictors. A recipe specifying a set of preprocessing steps created from recipes::recipe().
...	Not currently used, but required for extensibility.
formula	A formula specifying the predictor terms on the right-hand side. No outcome should be specified.
data	When a recipe or formula is used, data is specified as: A data frame containing the predictors.

Value

A apd_hat_values object.

Examples

predictors <- mtcars[, -1]

# Data frame interface
mod <- apd_hat_values(predictors)

# Formula interface
mod2 <- apd_hat_values(mpg ~ ., mtcars)

# Recipes interface
library(recipes)
#> Warning: package ‘recipes’ was built under R version 3.6.2
#> Loading required package: dplyr
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union
#> 
#> Attaching package: ‘recipes’
#> The following object is masked from ‘package:stats’:
#> 
#>     step
rec <- recipe(mpg ~ ., mtcars)
rec <- step_log(rec, disp)
mod3 <- apd_hat_values(rec, mtcars)