blr_model_fit_stats {blorr} | R Documentation |
Model fit statistics
Description
Model fit statistics.
Usage
blr_model_fit_stats(model, ...)
Arguments
model |
An object of class |
... |
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)