performance (version 0.1.0)

r2: Compute the model's R2

Description

Calculate the R2 value for different model objects. Depending on the model, R2, pseudo-R2 or marginal / adjusted R2 values are returned.

Usage

r2(model, ...)

Arguments

model

A statistical model.

...

Currently not used.

Value

Returns a list containing values related to the most appropriate R2 for the given model. See the list below:

• Logistic models: Tjur's R2

• General linear models: Nagelkerke's R2

• Multinomial Logit: McFadden's R2

• Mixed models: Nakagawa's R2

• Bayesian models: R2 bayes

See Also

link{r2_bayes}, link{r2_coxsnell}, link{r2_kl}, link{r2_loo}, link{r2_mcfadden}, link{r2_nagelkerke}, link{r2_nakagawa} and link{r2_tjur}.

Examples

# NOT RUN {
model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
r2(model)

library(lme4)
model <- lmer(Sepal.Length ~ Petal.Length + (1 | Species), data = iris)
r2(model)

# }