Hosmer-Lemeshow goodness-of-fit test

Check model quality of logistic regression models.

Usage

performance_hosmer(model, n_bins = 10)

Arguments

model

A glm-object with binomial-family.

n_bins

Numeric, the number of bins to divide the data.

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.