Description Usage Arguments Value References
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.
1 | chi2cub1cov(m, ordinal, covar, pai, gama)
|
m |
Integer: number of ordinal categories |
ordinal |
Vector of ordinal responses |
covar |
Vector of the selected covariate for explaining the feeling component |
pai |
Uncertainty parameter |
gama |
gama |
Vector of parameters for the feeling component, with length equal to 2 to account for an intercept term (first entry)
It returns the following results in a list:
df |
Number of degrees of freedom |
chi2 |
Value of the Pearson fitting measure |
dev |
Deviance indicator |
Tutz, G. (2011). Regression for categorical data, Cambridge Series in Statistical and Probabilistic Mathematics
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