Hosmer lemeshow goodness of fit test.
References
Hosmer, D.W., Jr., & Lemeshow, S. (2000), Applied logistic regression(2nd ed.). New York: John Wiley & Sons.
See also
Other model validation techniques:
blr_confusion_matrix(),
blr_decile_capture_rate(),
blr_decile_lift_chart(),
blr_gains_table(),
blr_gini_index(),
blr_ks_chart(),
blr_lorenz_curve(),
blr_roc_curve()
Examples
model <- glm(honcomp ~ female + read + science, data = hsb2,
family = binomial(link = 'logit'))
blr_test_hosmer_lemeshow(model)
#> Partition for the Hosmer & Lemeshow Test
#> --------------------------------------------------------------
#> def = 1 def = 0
#> Group Total Observed Expected Observed Expected
#> --------------------------------------------------------------
#> 1 20 0 0.16 20 19.84
#> 2 20 0 0.53 20 19.47
#> 3 20 2 0.99 18 19.01
#> 4 20 1 1.64 19 18.36
#> 5 21 3 2.72 18 18.28
#> 6 19 3 4.05 16 14.95
#> 7 20 7 6.50 13 13.50
#> 8 20 10 8.90 10 11.10
#> 9 20 13 11.49 7 8.51
#> 10 20 14 16.02 6 3.98
#> --------------------------------------------------------------
#>
#> Goodness of Fit Test
#> ------------------------------
#> Chi-Square DF Pr > ChiSq
#> ------------------------------
#> 4.4998 8 0.8095
#> ------------------------------