This method calculates the Coefficient of Discrimination D
for generalized linear (mixed) models for binary data. It is
an alternative to other Pseudo-R-squared values
like Nakelkerke's R2 or Cox-Snell R2.
cod(x)
x |
---|
The D
Coefficient of Discrimination, also known as
Tjur's R-squared value.
The Coefficient of Discrimination D
can be read like any
other (Pseudo-)R-squared value.
Tjur T (2009) Coefficients of determination in logistic regression models - a new proposal: The coefficient of discrimination. The American Statistician, 63(4): 366-372
r2
for Nagelkerke's and Cox and Snell's pseudo
r-squared coefficients.
library(sjmisc)#> #>#>#> #>data(efc) # Tjur's R-squared value efc$services <- ifelse(efc$tot_sc_e > 0, 1, 0) fit <- glm(services ~ neg_c_7 + c161sex + e42dep, data = efc, family = binomial(link = "logit")) cod(fit)#> Tjur's D: 0.023