Description Usage Arguments Details Value See Also Examples

Numerical aproximation of the Hessian of a function.

1 |

`f` |
(type: numeric) name of function that defines log likelihood (or negative of it). |

`x0` |
(type: numeric) scalar or vector of parameters that give the point at which you want the hessian estimated (usually will be the mle). |

`...` |
Additional arguments to be passed to the function. |

Computes the numerical approximation of the Hessian of `f`

, evaluated at
`x0`

.
Usually needs to pass additional parameters (e.g. data). N.B. this uses no
numerical sophistication.

An *n \times n* matrix of 2nd derivatives, where *n* is the length of
`x0`

.

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