blr_multi_model_fit_stats: Multi model fit statistics

In blorr: Tools for Developing Binary Logistic Regression Models

Multi model fit statistics

Description

Measures of model fit statistics for multiple models.

Usage

blr_multi_model_fit_stats(model, ...)

## Default S3 method:
blr_multi_model_fit_stats(model, ...)

Arguments

model	An object of class glm.
...	Objects of class glm.

Value

A tibble.

See Also

Other model fit statistics: blr_model_fit_stats(), blr_pairs(), blr_rsq_adj_count(), blr_rsq_cox_snell(), blr_rsq_effron(), blr_rsq_mcfadden_adj(), blr_rsq_mckelvey_zavoina(), blr_rsq_nagelkerke(), blr_test_lr()

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)

blorr documentation built on April 3, 2025, 6:01 p.m.