empirical_link: Empirically estimate response values on the link scale
In regressinator: Simulate and Diagnose (Generalized) Linear Models

empirical_link

R Documentation

Empirically estimate response values on the link scale

Description

Calculates the average value of the response variable, and places this on the link scale. Plotting these against a predictor (by dividing the dataset into bins) can help assess the choice of link function.

Usage

empirical_link(response, family, na.rm = FALSE)

Arguments

`response`	Vector of response variable values.
`family`	Family object representing the response distribution and link function. Only the link function will be used.
`na.rm`	Should `NA` values of the response be stripped? Passed to `mean()` when calculating the mean of the response.

Value

Mean response value, on the link scale.

Examples

suppressMessages(library(dplyr))
suppressMessages(library(ggplot2))

mtcars |>
  bin_by_interval(disp, breaks = 5) |>
  summarize(
    mean_disp = mean(disp),
    link = empirical_link(am, binomial())
  ) |>
  ggplot(aes(x = mean_disp, y = link)) +
  geom_point()

regressinator documentation built on Sept. 11, 2024, 6:50 p.m.