This method calculates the Coefficient of Discrimination D
(also known as Tjur's R2; Tjur, 2009 ) for generalized linear (mixed) models for binary outcomes. It is an alternative to other pseudo-R2 values like Nagelkerke's R2 or Cox-Snell R2. The Coefficient of Discrimination D
can be read like any other (pseudo-)R2 value.
r2_tjur(model,...)
Arguments
model: Binomial Model.
...: Arguments from other functions, usually only used internally.
Returns
A named vector with the R2 value.
Examples
model <- glm(vs ~ wt + mpg, data = mtcars, family ="binomial")r2_tjur(model)
References
Tjur, T. (2009). Coefficients of determination in logistic regression models - A new proposal: The coefficient of discrimination. The American Statistician, 63(4), 366-372.