| hoslem_gof {sjstats} | R Documentation |
This method performs a Hosmer-Lemeshow goodness-of-fit-test for generalized linear (mixed) models for binary data.
hoslem_gof(x, g = 10)
x |
|
g |
Number of bins to divide the data. Default is 10. |
An object of class hoslem_test with
following values:
chisq the Hosmer-Lemeshow chi-squared statistic
df degrees of freedom
p.value the p-value for the goodness-of-fit test
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.
Hosmer, D. W., & Lemeshow, S. (2000). Applied Logistic Regression. Hoboken, NJ, USA: John Wiley & Sons, Inc. doi: 10.1002/0471722146
data(efc)
# goodness-of-fit test for logistic regression
efc$services <- ifelse(efc$tot_sc_e > 0, 1, 0)
fit <- glm(services ~ neg_c_7 + c161sex + e42dep, data = efc,
family = binomial(link = "logit"))
hoslem_gof(fit)