Description Usage Arguments Details Value Author(s) See Also Examples

Various parameters that control aspects for `olmm`

.

1 2 3 4 |

`fit` |
character string. The name of the function to be used for the optimization. |

`doFit` |
logical scalar. When |

`numGrad` |
logical scalar indicating whether the score function should be retrieved numerically. |

`numHess` |
logical scalar. Indicates whether the Hess matrix for
the variance-covariance matrix should be estimated numerically,
which is an approximation of the observed Fisher information. Must
be |

`nGHQ` |
a positive integer specifying the number of quadrature points for the approximation of the marginal Likelihood by numerical integration. |

`start` |
a named numeric vector of initial values for the parameters. The parameter must be named in exactly in the way as they appear when the model is fitted. |

`restricted` |
a character vector of names of coefficients to be restricted to the initial values. The argument is ignored in case of adjacent category models. |

`verbose` |
logical scalar. If |

`...` |
further arguments to be passed to |

Initial values may decrease the computation time and avoid
divergence. The `start`

argument accepts a vector with named
elements according to the column names of the
`model.matrix`

. At the time being, initial values for
adjacent-categories models must be transformed into the
baseline-category model form.

Notice that an additional argument `control`

, e.g.,
`control = list(trace = 1)`

, can be passed access control
parameters of the optimizers. For arguments, see
`ucminf`

, `nlminb`

or
`optim`

.

A list of class `olmm_control`

containing
the control parameters.

Reto Buergin

1 | ```
olmm_control(doFit = FALSE)
``` |

vcrpart documentation built on Feb. 16, 2018, 1:03 a.m.

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