binfit: Scalar Measures of Fit for Binary Variable Models

Description Usage Arguments Details Value Author(s) References Examples

View source: R/DAMisc_functions.R

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

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	binfit(mod)

Arguments

mod

A model of class glm with family=binomial.

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.

Value

A named vector of scalar measures of fit

Author(s)

Dave Armstrong (UW-Milwaukee, Department of Political Science)

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

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data(france)
left.mod <- glm(voteleft ~ male + age + retnat + 
	poly(lrself, 2), data=france, family=binomial)
binfit(left.mod)

DAMisc documentation built on May 30, 2017, 8:12 a.m.