cooks.distance_lmer: Function to compute Cook's distance for mixed models

In Antoine-Masse/KefiR: KefiR Package

Function to compute Cook's distance for mixed models

Description

Function to compute Cook's distance for mixed models

Usage

cooks.distance_lmer(model, obs = FALSE)

Arguments

model	A mixed-effects model of class lmerMod (fitted with lme4).
obs	Logical, if TRUE, computes Cook's distance for individual observations as well.

Value

A named vector with Cook's distance values for each group of random effects and optionally for each observation.

Examples

# Example 1
library(lme4)
data("sleepstudy")
model <- lmer(Reaction ~ Days + (Days | Subject), data = sleepstudy)
cooks_distances <- cooks.distance_lmer(model)

# Example 2
data(mtcars)
model <- lmer(cyl ~ disp + (1 | hp) + (1 | gear), data = mtcars)
cooks_distances <- cooks.distance_lmer(model)

Antoine-Masse/KefiR documentation built on July 4, 2024, 11:40 a.m.