mxOption {OpenMx} | R Documentation |

The function sets or clears an option that is specific to the optimizer in the back-end.

mxOption(model, key, value, reset = FALSE)

`model` |
An MxModel object |

`key` |
The name of the option. |

`value` |
The value of the option. |

`reset` |
If TRUE then reset all options to their defaults. |

Sets an option that is specific to the particular optimizer used in the back-end.
The name of the option is the ‘key’ argument. Use value = NULL to remove
an existing option. Before the model is submitted to the back-end, all keys and
values are converted into strings using the as.character function. To reset
all options to their default values, use reset = TRUE. If reset = TRUE, then 'key'
and 'value' are ignored. Use `getOption('mxOptimizerOptions')`

to see the default optimizer options.

OpenMx options

Calculate Hessian | [Yes|No] | calculate the hessian explicitly after optimization. If ‘No’, a less precise hessian estimate (from the optimizer) is returned. Forced to ‘Yes’ if ‘Standard Errors’ option is enabled. | |

Standard Errors | [Yes|No] | return standard error estimates from the explicitly calculate hessian. Forces explicit calculation of the hessian. | |

Chi-square Confidence Intervals | [Yes|No] | calculate confidence intervals based on boundaries of the maximum likelihood space. At present, this assumes a Chi-square distribution for the results of the objective function. | |

NPSOL-specific options

Nolist | this option suppresses printing of the options | |

Print level | i | the value of i controls the amount of printout produced by the major iterations |

Minor print level | i | the value of i controls the amount of printout produced by the minor iterations |

Print file | i | for i > 0 a full log is sent to the file with logical unit number i. |

Summary file | i | for i > 0 a brief log will be output to file i. |

Function Precision | r | a measure of accuracy with which f and c can be computed. |

Infinite Bound Size | r | if r > 0 defines the "infinite" bound bigbnd. |

Feasibility tolerance | r | the maximum acceptable absolute violations in linear and nonlinear constraints. |

Major iterations | i | the maximum number of major iterations before termination. |

Verify level | [-1:3|Yes|No] | see NPSOL manual. |

Line search tolerance | r | controls the accuracy with which a step is taken. |

Derivative Level | [0-3] | see NPSOL manual. |

Hessian | [Yes|No] | return the transformed Hessian (if ‘No’) or the Hessian itself (if ‘Yes’). |

Returns the model with the optimizer option either set or cleared.

The OpenMx User's guide can be found at http://openmx.psyc.virginia.edu/documentation.

model <- mxModel() model <- mxOption(model, "Function Precision", 1e-5) model <- mxOption(model, "Standard Errors", "Yes") model <- mxOption(model, "Function Precision", NULL)

[Package *OpenMx* version 0.2.9-1147 Index]