performance (version 0.1.0)

r2_kl: Kullback-Leibler R2

Description

Calculates the Kullback-Leibler-divergence-based R2 for generalized linear models.

Usage

r2_kl(model, adjust = TRUE)

Arguments

model

A generalized linear model.

adjust

Logical, if TRUE (the default), the adjusted R2 value is returned.

Value

A named vector with the R2 value.

References

Cameron, A. C. and Windmeijer, A. G. (1997) An R-squared measure of goodness of fit for some common nonlinear regression models. Journal of Econometrics, 77: 329-342.

Examples

# NOT RUN {
model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
r2_kl(model)

# }