DAMisc (version 1.7.2)

binfit: Scalar Measures of Fit for Binary Variable Models

Description

Calculates scalar measures of fit for models with binary dependent variables along the lines described in Long (1997) and Long and Freese (2005).

Usage

binfit(mod)

Arguments

mod

A model of class glm with family=binomial.

Value

A named vector of scalar measures of fit

Details

binfit calculates scalar measures of fit (many of which are pseudo-R-squared measures) to describe how well a model fits data with a binary dependent variable.

References

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

Long, J.S. and J. Freese. 2005. Regression Models for Categorical Outcomes Using Stata, 2nd ed. College Station, TX: Stata Press.

Examples

# NOT RUN {
data(france)
left.mod <- glm(voteleft ~ male + age + retnat + 
	poly(lrself, 2), data=france, family=binomial)
binfit(left.mod)

# }