Description Usage Arguments Details

Compute the opposite of the log-likelihood function for an IHG model with covariates for the preference parameter.

1 | ```
effeihgcov(nu, ordinal, U, m)
``` |

`nu` |
Vector of the starting values for the parameters to be estimated, with length equal to
NCOL(U)+1 to account for an intercept term (first entry of |

`ordinal` |
Vector of ordinal responses |

`U` |
Matrix of the explanatory variables for the preference parameter |

`m` |
Number of ordinal categories |

It is called as an argument for "optim" within IHG function (with covariates) as the function to minimize.

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