gofm: Calculating goodness-of-fit measures
In support.CEs: Basic Functions for Supporting an Implementation of Choice Experiments

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/gofm.R

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

gofm(output)

## S3 method for class 'gofm'
print(x, digits = getOption("digits"), ...)

`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`.

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.

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.

Hideo Aizaki

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/

clogit, glm, make.dataset

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

Loading required package: DoE.base
Loading required package: grid
Loading required package: conf.design

Attaching package: 'DoE.base'

The following objects are masked from 'package:stats':

    aov, lm

The following object is masked from 'package:graphics':

    plot.design

The following object is masked from 'package:base':

    lengths

Loading required package: MASS
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