View source: R/f_s3_rendolatentIV.R

summary.rendo.latent.IV | R Documentation |

`summary`

method for a model of class `rendo.latent.IV`

resulting from fitting `latentIV`

```
## S3 method for class 'rendo.latent.IV'
summary(object, ...)
```

`object` |
an object of class |

`...` |
ignored, for consistency with the generic function. |

The function `summary.rendo.latent.IV`

computes and returns a list of summary statistics
which contains the following components:

`coefficients` |
a |

`start.params` |
a named vector with the initial set of parameters used to optimize the log-likelihood function. |

`names.main.coefs` |
a vector specifying which coefficients are from the model. For internal usage. |

`vcov` |
variance covariance matrix derived from the hessian. |

`AIC` |
Akaike's An Information Criterion for the model fitted on the provided data. |

`BIC` |
Schwarz's Bayesian Criterion for the model fitted on the provided data. |

`KKT1` |
first Kuhn, Karush, Tucker optimality condition as returned by optimx. |

`KKT2` |
second Kuhn, Karush, Tucker optimality condition as returned by optimx. |

`conv.code` |
the convergence code as returned by optimx. |

`log.likelihood` |
the value of the log-likelihood function at the found solution for the provided data. |

The model fitting function `latentIV`

Function `coef`

will extract the `coefficients`

matrix and
function `vcov`

will extract the component `vcov`

from the returned summary object.

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