Description Usage Arguments Value Author(s)

This internal function calculates the first derivative of a spatial GEV model with respect to a random effect parameter on the shape and is used during the Metropolis-Hastings update of this parameter conditional on everything else.

1 |

`tau` |
Current value of the random effect |

`tau.hat` |
Conditional mean of the random effect given all others and the Gaussian process parameters. |

`varsigma` |
Conditional variance of the random effect according to the Gaussian process |

`kappa` |
Current value for the GEV scale at this site. |

`xi.hat` |
Current linear part of the GEV shape at this site. |

`eps` |
Vector of residuals for observations of this site given the current location value. |

A scalar giving the first derivative of this density

Alex Lenkoski <[email protected]>

spatial.gev.bma documentation built on May 29, 2017, 9:10 a.m.

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