CUB (version 0.1)

chi2cub: Pearson $X^2$ statistic

Description

Compute the $X^2$ statistic of Pearson for CUB models with one or two discrete covariates for the feeling component.

Usage

chi2cub(m, ordinal, W, pai, gama)

Arguments

m

Number of ordinal categories

ordinal

Vector of ordinal responses

W

Matrix of covariates for the feeling component

pai

Uncertainty parameter

gama

Vector of parameters for the feeling component, with length equal to NCOL(W)+1 to account for an intercept term (first enry of gama)

Value

It returns the following results in a list:

df

Number of degrees of freedom

chi2

Value of the Pearson fitting measure

dev

Deviance indicator

References

Tutz, G. (2012). Regression for Categorical Data, Cambridge University Press, Cambridge

Examples

data(univer)
m<-7
ordinal<-univer[,8]
W<-univer[,4]
pai<-0.3
gama<-c(0.1,0.7)
pearson<-chi2cub(m, ordinal, W, pai, gama)
degfree<-pearson$df
statvalue<-pearson$chi2
deviance<-pearson$dev