performance (version 0.7.2)

performance_hosmer: Hosmer-Lemeshow goodness-of-fit test

Description

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., & Lemeshow, S. (2000). Applied Logistic Regression. Hoboken, NJ, USA: John Wiley & Sons, Inc. 10.1002/0471722146

Examples

# NOT RUN {
model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
performance_hosmer(model)
# }