View source: R/model_performance.R
model_performance | R Documentation |
See the documentation for your object's class:
Frequentist Regressions
Instrumental Variables Regressions
Mixed models
Bayesian models
CFA / SEM lavaan models
Meta-analysis models
model_performance(model, ...)
performance(model, ...)
model |
Statistical 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 metrics
).
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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