blr_model_fit_stats: Model fit statistics

In blorr: Tools for Developing Binary Logistic Regression Models

Description

Model fit statistics.

Usage

blr_model_fit_stats(model, ...)

Arguments

model	An object of class glm.
...	Other inputs.

References

Menard, S. (2000). Coefficients of determination for multiple logistic regression analysis. The American Statistician, 54(1), 17-24.

Windmeijer, F. A. G. (1995). Goodness-of-fit measures in binary choice models. Econometric Reviews, 14, 101-116.

Hosmer, D.W., Jr., & Lemeshow, S. (2000), Applied logistic regression(2nd ed.). New York: John Wiley & Sons.

J. Scott Long & Jeremy Freese, 2000. "FITSTAT: Stata module to compute fit statistics for single equation regression models," Statistical Software Components S407201, Boston College Department of Economics, revised 22 Feb 2001.

Freese, Jeremy and J. Scott Long. Regression Models for Categorical Dependent Variables Using Stata. College Station: Stata Press, 2006.

Long, J. Scott. Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks: Sage Publications, 1997.

See Also

Other model fit statistics: 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(), blr_test_lr()

Examples

model <- glm(honcomp ~ female + read + science, data = hsb2,
            family = binomial(link = 'logit'))

blr_model_fit_stats(model)

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