r2_kullback: Kullback-Leibler R2
In performance: Assessment of Regression Models Performance
r2_kullback R Documentation
Kullback-Leibler R2
Description
Calculates the Kullback-Leibler-divergence-based
R2 for generalized linear models.
Usage
r2_kullback(model, adjust = TRUE)
Arguments
model
A generalized linear model.
adjust
Logical, if TRUE (the default), the adjusted R2 value is
returned.
Value
A named vector with the R2 value.
References
Cameron, A. C. and Windmeijer, A. G. (1997) An R-squared measure of goodness
of fit for some common nonlinear regression models. Journal of Econometrics,
77: 329-342.
Examples
model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
r2_kullback(model)
performance documentation built on Nov. 2, 2023, 5:48 p.m.
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| r2_kullback | R Documentation |
Kullback-Leibler R2
Description
Calculates the Kullback-Leibler-divergence-based R2 for generalized linear models.
Usage
r2_kullback(model, adjust = TRUE)
Arguments
model |
A generalized linear model. |
adjust |
Logical, if |
Value
A named vector with the R2 value.
References
Cameron, A. C. and Windmeijer, A. G. (1997) An R-squared measure of goodness of fit for some common nonlinear regression models. Journal of Econometrics, 77: 329-342.
Examples
model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
r2_kullback(model)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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