Hosmer lemeshow test

Hosmer lemeshow test.

blr_hosmer_lemeshow_test(model, data = NULL)

Arguments

model	An object of class glm.
data	a tibble or data.frame.

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_hosmer_lemeshow_test(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   
#> ------------------------------