Description Usage Arguments Details Value Author(s) Examples

This function calculates the Fisher information matrix needed for the estimation of multistate models using the Fisher scoring algorithm.

1 | ```
fisherinfo(beta, X, risksetlist, event)
``` |

`beta` |
vector of regression coefficients. |

`X` |
design matrix. |

`risksetlist` |
list of length |

`event` |
non-censoring event indicator. |

This function implements the Fisher scoring matrix (i.e., the
second partial derivative of the log partial likelihood with respect
to the components of the regression effect vector `beta`

).

Fisher information matrix `info`

.

Holger Reulen

1 | ```
## Not run: fisherinfo(beta, X, risksetlist, event)
``` |

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