Internal tweedie functions.

1 2 3 4 5 6 7 8 9 10 11 | ```
dtweedie.dlogfdphi(y, mu, phi, power)
dtweedie.logl(phi, y, mu, power)
dtweedie.logl.saddle( phi, power, y, mu, eps=0)
dtweedie.logv.bigp( y, phi, power)
dtweedie.logw.smallp(y, phi, power)
dtweedie.interp(grid, nx, np, xix.lo, xix.hi,p.lo, p.hi, power, xix)
dtweedie.jw.smallp(y, phi, power )
dtweedie.kv.bigp(y, phi, power)
dtweedie.series.bigp(power, y, mu, phi)
dtweedie.series.smallp(power, y, mu, phi)
stored.grids(power)
``` |

`y` |
the vector of responses |

`power` |
the value of |

`mu` |
the mean |

`phi` |
the dispersion |

`grid` |
the interpolation grid necessary for the given value of |

`nx` |
the number of interpolation points in the |

`np` |
the number of interpolation points in the |

`xix.lo` |
the lower value of the transformed |

`xix.hi` |
the higher value of the transformed |

`p.lo` |
the lower value of |

`p.hi` |
the higher value of |

`xix` |
the value of the transformed |

`eps` |
the offset in computing the variance function in the saddlepoint approximation.
The default is |

These are not to be called by the user.

Peter Dunn (pdunn2@usc.edu.au)

Nelder, J. A. and Pregibon, D. (1987).
An extended quasi-likelihood function
*Biometrika*,
**74**(2), 221–232.

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