support.CEs (version 0.4-1)

gofm: Calculating goodness-of-fit measures

Description

This function provides rho-squared and rho-squared adjusted by the number of estimated coefficients.

Usage

gofm(output)
"print"(x, digits = getOption("digits"), ...)

Arguments

output

An object containing the output from the function clogit or glm.

x

An object of class "gofm."

digits

A number of significant digits.

...

Arguments passed to the function format.

Value

This function returns an object of S3 class "gofm" that is a list with the following components.

RHO2

The rho-squared value. Defined as RHO2 = 1 - (LLb / LL0).

AdjRHO2

The rho-squared value adjusted by the number of estimated coefficients. Defined as AdjRHO2 = 1 - ((LLb - K) / LL0).

AIC

The Akaike Information Criterion (AIC).

BIC

The Bayesian Information Criterion.

K

The number of estimated coefficients.

LL0

The log likelihood value at the start.

LLb

The log likelihood value at convergence.

Details

This function provides rho-squared (also called McFadden's R-squared or pseudo R-squared), rho-squared adjusted by the number of estimated coefficients, the number of estimated coefficients, and log likelihood values at the start and at convergence.

In version 0.3-0 and later versions, this function is also available for calculating goodness-of-fit measures for binary choice models estimated by using the function glm in the package stats.

References

Ben-Akiva, M. and Lerman, S. R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. The MIT Press.

Cameron, A. C. and Trivedi, P. K. (2005) Microeconometrics: Methods and Applications. Cambridge University Press.

Aizaki, H. (2012) Basic Functions for Supporting an Implementation of Choice Experiments in R. Journal of Statistical Software, Code Snippets, 50(2), 1--24. http://www.jstatsoft.org/v50/c02/

See Also

clogit, glm, make.dataset

Examples

# See "Examples" for the function make.dataset.