Measures of model fit statistics for multiple models.

blr_multi_model_fit_stats(model, ...)

# S3 method for default
blr_multi_model_fit_stats(model, ...)

Arguments

model

An object of class glm.

...

Objects of class glm.

Value

A tibble.

See also

Examples

model <- glm(honcomp ~ female + read + science, data = hsb2, family = binomial(link = 'logit')) model2 <- glm(honcomp ~ female + read + math, data = hsb2, family = binomial(link = 'logit')) blr_multi_model_fit_stats(model, model2)
#> Measures Model 1 Model 2 #> 1 Log-Lik Intercept Only -115.644 -115.644 #> 2 Log-Lik Full Model -80.118 -75.210 #> 3 Deviance 160.236 150.420 #> 4 LR 71.052 80.869 #> 5 Prob > LR 0.000 0.000 #> 6 MCFadden's R2 0.307 0.350 #> 7 McFadden's Adj R2 0.273 0.315 #> 8 ML (Cox-Snell) R2 168.236 158.420 #> 9 Cragg-Uhler(Nagelkerke) R2 0.299 0.333 #> 10 McKelvey & Zavoina's R2 181.430 171.613 #> 11 Efron's R2 0.518 0.523 #> 12 Count R2 0.330 0.379 #> 13 Adj Count R2 0.436 0.485 #> 14 AIC 0.810 0.830 #> 15 BIC 0.283 0.358