performance: r2_tjur – R documentation

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r2_tjur

Tjur's R2 - coefficient of determination (D)

Description

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.

Usage

r2_tjur(model)

Arguments

model

Binomial Model.

Value

A named vector with the R2 value.

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.

Examples

model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
r2_tjur(model)

performance

Assessment of Regression Models Performance

v0.7.1

GPL-3

Authors

Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>)

Initial release