Description Usage Arguments Details Value References

Calculating the Hessian matrix using Louis's Method under the Gamma frailty non-homogeneous Poisson process model. This is a support function for `PCDReg.wf`

.

1 | ```
PCDHess.wf(DATA, beta, gamma, nu, order, knots)
``` |

`DATA` |
use specified data structure. |

`beta` |
estimates of regression coefficients. |

`gamma` |
estimates of spline coefficients. |

`nu` |
estimates of gamma frailty variance parameter. |

`order` |
the order of basis functions. |

`knots` |
the equally spaced knots. |

To obtain the Hessian matrix of the observed likelihood evaluated at the last step output of the EM algorithm.

`HESS` |
Hessian matrix. |

Louis, T. (1982). Finding the observed information matrix when using the EM algorithm. *Journal
of the Royal Statistical Society*, Series B 44, 226-233.

Yao,B., Wang, L., and He, X. (2014+).Semiparametric regression analysis of panel count data allowing for within-subject correlation.

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