cubpq function

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

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.

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

Returns

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