Description Usage Arguments Value Author(s)

This is the second derivative of the conditional posterior probability of a sptial GEV model with respect to a given random effect in the location parameter. It is used to form the proposal for a Metropolis-Hastings update of the given parameter.

1 | ```
f.double.prime(tau, tau.hat, varsigma, xi, kappa, R)
``` |

`tau` |
The current value of the given random effect |

`tau.hat` |
The conditional mean of the random effect given the other random effects and the Gaussian process parameters |

`varsigma` |
The conditional variance of the random effect given the Gaussian process parameters |

`xi` |
The current shape parameter at this location |

`kappa` |
The current precision parameter at this location |

`R` |
The residual between the observed values and the linear part of the location parameter |

A scalar that gives the value of the derivative. This is then used to form the relevant proposal.

Alex Lenkoski <[email protected]>

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

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