gof {SNSequate}

Functions to assess model fitting.

Description

This function contains various measures to assess the model's goodness of fit.

Usage

gof(obs, fit, methods=c("FT"), p.out=FALSE)

Arguments

obs

A vector containing the observed values.

fit

A vector containing the fitted values.

methods

A character vector containing one or many of the following methods:

"FT"

Freeman-Tukey Residuals. This is the default test.

"Chisq"

Pearson's Chi-squared test.

"KL"

Symmetrised Kullback-Leibler divergence.

p.out

Boolean. Decides whether or not to display plots (on corresponding methods).

Author(s)

Daniel Leon Acuna. [e-mail]

References

Gonzalez, J. (2014). SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating. Journal of Statistical Software, 59(7), 1-30.

Kolen, M., and Brennan, R. (2004). Test Equating, Scaling and Linking. New York, NY: Springer-Verlag.

Johnson, D. H., and Sinanovic, S. (2000). Symmetrizing the Kullback-Leibler distance (Technical report). IEEE Transactions on Information Theory.

Examples

data(Math20EG)
mod <- ker.eq(scores=Math20EG,kert="gauss",degree=c(2,3),design="EG")

gof(Math20EG[,1], mod$rj*mod$nx, method=c("FT", "KL"))