cub0q function

Main function for CUB models with covariates for the feeling component

Main function for CUB models with covariates for the feeling component

Function to estimate and validate a CUB model for given ordinal responses, with covariates for explaining the feeling component.

cub0q(m, ordinal, W, maxiter, toler)

Arguments

  • m: Number of ordinal categories
  • ordinal: Vector of ordinal responses
  • W: Matrix of selected covariates for explaining the feeling component, not including intercept
  • 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 Quantity management, 7 (2) 149--168

Iannario M. and Piccolo D. (2012), CUB models: Statistical methods and empirical evidence, in: Kenett R. S. and Salini S. (eds.), Modern Analysis of Customer Surveys: with applications using R, J. Wiley and Sons, Chichester, 231--258.

  • Maintainer: Rosaria Simone
  • License: GPL-2 | GPL-3
  • Last published: 2024-02-23

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