Description Usage Arguments Details Value Author(s) Examples

Calculates the first partial derivative of the log partial likelihood with respect to the linear predictor.

1 | ```
dlpl(event, b, X, Ri, Ci)
``` |

`event` |
non-censoring event indicator. |

`b` |
vector of regression coefficients |

`X` |
design matrix |

`Ri` |
list of length |

`Ci` |
list of length |

This function calculates the first derivative of the log partial likelihood of a Cox type multistate model.

A vector with the values of the partial first derivatives of the log partial likelihood with respect to the regression effects.

Holger Reulen

1 | ```
## Not run: dlpl(event, b, X, Ri, Ci)
``` |

penMSM documentation built on May 30, 2017, 2:28 a.m.

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