r_squared_for_glm: R squared for glm

View source: R/r_squared_for_glm.R

r_squared_for_glmR Documentation

R squared for glm

Description

R squared for glm

Usage

r_squared_for_glm(obj)

Arguments

obj

glm object

Details

R squared for glm is defined as 1 - (D_M / D_0) where D_M and D_0 is the deviance for respectively the chosen model and the null model

Value

R squared for glm (numeric value)

Examples

set.seed(1)
df <- data.frame(x = 1:100, eps = rnorm(n = 100))
df$y <- floor(exp(df$x + df$eps))
m <- glm(y ~ x, data = df, family = poisson())
r_squared_for_glm(obj = m)

kristian-bak/kb.utils documentation built on Aug. 1, 2022, 7:09 a.m.