blr_test_lr: Likelihood ratio test

In blorr: Tools for Developing Binary Logistic Regression Models

Description

Performs the likelihood ratio test for full and reduced model.

Usage

blr_test_lr(full_model, reduced_model)

## Default S3 method:
blr_test_lr(full_model, reduced_model)

Arguments

full_model	An object of class glm; model with all predictors.
reduced_model	An object of class glm; nested model. Optional if you are comparing the full_model with an intercept only model.

Value

Two tibbles with model information and test results.

See Also

Other model fit statistics: blr_model_fit_stats(), blr_multi_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()

Examples

# compare full model with intercept only model
# full model
model_1 <- glm(honcomp ~ female + read + science, data = hsb2,
            family = binomial(link = 'logit'))

blr_test_lr(model_1)

# compare full model with nested model
# nested model
model_2 <- glm(honcomp ~ female + read, data = hsb2,
            family = binomial(link = 'logit'))

blr_test_lr(model_1, model_2)

blorr documentation built on July 2, 2020, 2:15 a.m.