fitmeasures: Functions to assess model fitting.

In SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating

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"))

SNSequate documentation built on Dec. 28, 2022, 1:35 a.m.