insight (version 0.16.0)

get_deviance: Model Deviance

Description

Returns model deviance (see stats::deviance()).

Usage

get_deviance(x, ...)
# S3 method for default
get_deviance(x, verbose = TRUE, ...)

Arguments

x

A model.

...

Not used.

verbose

Toggle warnings and messages.

Value

The model deviance.

Details

For GLMMs of class glmerMod, glmmTMB or MixMod, the absolute unconditional deviance is returned (see 'Details' in ?lme4::merMod-class``), i.e. minus twice the log-likelihood. To get the relative conditional deviance (relative to a saturated model, conditioned on the conditional modes of random effects), use deviance(). The value returned `get_deviance()` usually equals the deviance-value from the `summary()`.

Examples

# NOT RUN {
data(mtcars)
x <- lm(mpg ~ cyl, data = mtcars)
get_deviance(x)
# }