`check_zeroinflation()`

checks whether count models are
over- or underfitting zeros in the outcome.

## Arguments

- x
Fitted model of class

`merMod`

,`glmmTMB`

,`glm`

, or`glm.nb`

(package**MASS**).- tolerance
The tolerance for the ratio of observed and predicted zeros to considered as over- or underfitting zeros. A ratio between 1 +/-

`tolerance`

is considered as OK, while a ratio beyond or below this threshold would indicate over- or underfitting.

## Value

A list with information about the amount of predicted and observed zeros in the outcome, as well as the ratio between these two values.

## Details

If the amount of observed zeros is larger than the amount of predicted zeros, the model is underfitting zeros, which indicates a zero-inflation in the data. In such cases, it is recommended to use negative binomial or zero-inflated models.

## See also

Other functions to check model assumptions and and assess model quality:
`check_autocorrelation()`

,
`check_collinearity()`

,
`check_convergence()`

,
`check_heteroscedasticity()`

,
`check_homogeneity()`

,
`check_model()`

,
`check_outliers()`

,
`check_overdispersion()`

,
`check_predictions()`

,
`check_singularity()`