Check model quality of logistic regression models.
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.