Description Usage Arguments Value References See Also

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.

1 | ```
cubpq(m, ordinal, Y, W, maxiter, toler)
``` |

`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 |

`summary` |
Logical: if TRUE, summary results of the fitting procedure are displayed on screen |

An object of the class "CUB"

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

`varcovcubpq`

, `loglikcubpq`

, `inibestgama`

, `CUB`

CUB documentation built on Feb. 9, 2018, 6:14 a.m.

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