Description Usage Arguments Value References See Also Examples

Compute the probability distribution of a CUB model with covariates for the uncertainty component.

1 | ```
probcubp0(m,ordinal,Y,bet,csi)
``` |

`m` |
Number of ordinal categories |

`ordinal` |
Vector of ordinal responses |

`Y` |
Matrix of covariates for explaining the uncertainty component |

`bet` |
Vector of parameters for the uncertainty component, whose length equals NCOL(Y) + 1 to include an intercept term in the model (first entry) |

`csi` |
Feeling parameter |

A vector of the same length as `ordinal`

, whose i-th component is the probability of the i-th
observation according to a CUB model with the corresponding values of the covariates for the
uncertainty component and coefficients for the covariates specified in `bet`

.

Piccolo D. (2006). Observed Information Matrix for MUB Models,
*Quaderni di Statistica*, **8**, 33–78

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. (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

`bitgama`

, `probcub00`

, `probcubpq`

, `probcub0q`

1 2 3 4 5 6 7 8 9 |

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