See the documentation for your object's class:
Instrumental Variables Regressions
CFA / SEM lavaan models
model_performance(model, ...) performance(model, ...)
Arguments passed to or from other methods, resp. for
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.
A data frame (with one row) and one column per "index" (see
compare_performance() to compare performance of many different models.
model <- lm(mpg ~ wt + cyl, data = mtcars) model_performance(model) model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial") model_performance(model)
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