model_performance: Model Performance

In performance: Assessment of Regression Models Performance

Model Performance

Description

See the documentation for your object's class:

• Frequentist Regressions

• Instrumental Variables Regressions

• Mixed models

• Bayesian models

• CFA / SEM lavaan models

• Meta-analysis models

Usage

model_performance(model, ...)

performance(model, ...)

Arguments

model	Statistical model.
...	Arguments passed to or from other methods, resp. for compare_performance(), one or multiple model objects (also of different classes).

Details

model_performance() correctly detects transformed response and returns the "corrected" AIC and BIC value on the original scale. To get back to the original scale, the likelihood of the model is multiplied by the Jacobian/derivative of the transformation.

Value

A data frame (with one row) and one column per "index" (see metrics).

See Also

compare_performance() to compare performance of many different models.

Examples

model <- lm(mpg ~ wt + cyl, data = mtcars)
model_performance(model)

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

performance documentation built on Nov. 2, 2023, 5:48 p.m.