chi2cub2cov: Pearson X^2 statistic for CUB models with one discrete...

Description Usage Arguments Value References

View source: R/chi2cub2cov.R

Description

Compute the X^2 statistic of Pearson for the goodness of fit of a CUB model for ordinal responses, where the feeling parameter is explained via a logistic transform of the only discrete covariate. It groups ratings in classes according to the values of the covariate.

Usage

1
chi2cub2cov(m, ordinal, covar1, covar2, pai, gama)

Arguments

m

Integer: number of ordinal categories

ordinal

Vector of ordinal responses

pai

Uncertainty parameter

gama

Vector of parameters for the feeling component, with length equal to 2 to account for an intercept term (first entry)

covar

Vector of the selected covariate for explaining the feeling component

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. (2011). Regression for categorical data, Cambridge Series in Statistical and Probabilistic Mathematics


CUB documentation built on Nov. 17, 2017, 6:37 a.m.