cubpq: Main function for CUB models with covariates for both the...

In CUB: A Class of Mixture Models for Ordinal Data

Main function for CUB models with covariates for both the uncertainty and the feeling components

Description

Estimate and validate a CUB model for given ordinal responses, with covariates for explaining both the feeling and the uncertainty components by means of logistic transform.

Usage

cubpq(m, ordinal, Y, W, maxiter, toler)

Arguments

m	Number of ordinal categories
ordinal	Vector of ordinal responses
Y	Matrix of selected covariates for explaining the uncertainty component
W	Matrix of selected covariates for explaining the feeling component
maxiter	Maximum number of iterations allowed for running the optimization algorithm
toler	Fixed error tolerance for final estimates

Value

An object of the class "CUB"

References

Piccolo D. and D'Elia A. (2008), A new approach for modelling consumers' preferences, Food Quality and Preference, 18, 247–259
Iannario M. and Piccolo D. (2010), A new statistical model for the analysis of customer satisfaction, Quality Technology and Quantitative Management, 17(2) 149–168

See Also

varcovcubpq, loglikcubpq, inibestgama, CUB

CUB documentation built on May 29, 2024, 5:23 a.m.