Check model quality of logistic regression models.

## Value

An object of class `hoslem_test`

with following values:
`chisq`

, the Hosmer-Lemeshow chi-squared statistic; `df`

, degrees
of freedom and `p.value`

the p-value for the goodness-of-fit test.

## Details

A well-fitting model shows *no* significant difference between
the model and the observed data, i.e. the reported p-value should be
greater than 0.05.

## References

Hosmer, D. W., and Lemeshow, S. (2000). Applied Logistic Regression. Hoboken, NJ, USA: John Wiley and Sons, Inc. doi:10.1002/0471722146

## Examples

```
model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
performance_hosmer(model)
#> # Hosmer-Lemeshow Goodness-of-Fit Test
#>
#> Chi-squared: 5.137
#> df: 8
#> p-value: 0.743
#>
#> Summary: model seems to fit well.
```