Description Usage Arguments Value Author(s)

This internal function gives the first derivative of a spatial GEV model with respect to a random effect parameter in order to made a focused update of that variate.

1 |

`tau` |
Current value of the random effect |

`tau.hat` |
Conditional mean of that random effect given the Gaussian process and the other random effects |

`varsigma` |
Conditional variance of the random effect given the Gaussian process |

`xi` |
Current shape parameter for that site |

`kappa` |
Current precision parameter for that site |

`R` |
Current vector of differences between the observations and the linear part of the location parameter at the site. |

A scalar giving the first derivative

Alex Lenkoski <[email protected]>

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