These methods prepare and print a statistical summary of marginal effects of multivariate probit models.

1 2 3 4 5 |

`object` |
object of class |

`x` |
object of class |

`digits` |
positive integer specifiying the minimum number of
significant digits to be printed
(passed to |

`...` |
currently not used. |

`summary.mvProbitMargEff`

returns an object
of class `"summary.mvProbitMargEff"`

inheriting from class `"matrix"`

.
The returned object is a matrix with four columns,
where the marginal effects are in the first column,
their standard errors are in the second column,
corresponding ‘z values’ are in the third column,
and the resulting ‘P values’ are in the last column.

Arne Henningsen

`mvProbitMargEff`

,
`margEff.mvProbit`

,
`mvProbit`

.

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