performance (version 0.12.1)

r2_ferrari: Ferrari's and Cribari-Neto's R2

Description

Calculates Ferrari's and Cribari-Neto's pseudo R2 (for beta-regression models).

Usage

r2_ferrari(model, ...)
# S3 method for default
r2_ferrari(model, correct_bounds = FALSE, ...)

Value

A list with the pseudo R2 value.

Arguments

model

Generalized linear, in particular beta-regression model.

...

Currently not used.

correct_bounds

Logical, whether to correct the bounds of the response variable to avoid 0 and 1. If TRUE, the response variable is normalized and "compressed", i.e. zeros and ones are excluded.

References

• Ferrari, S., and Cribari-Neto, F. (2004). Beta Regression for Modelling Rates and Proportions. Journal of Applied Statistics, 31(7), 799–815. tools:::Rd_expr_doi("10.1080/0266476042000214501")

Examples

if (FALSE) { # require("betareg")
data("GasolineYield", package = "betareg")
model <- betareg::betareg(yield ~ batch + temp, data = GasolineYield)
r2_ferrari(model)
}