Description Usage Arguments Details Value Author(s) References See Also

Calculates Hastings value of coefficients, the logdensity of the current
coefficients given proposal mean and variance based on a Gibbs sample
of the form in `Gibbs.sample.coeff.gp`

.

1 2 | ```
## S3 method for class 'gp'
Hastings.coeff(object, z, sig2e, meanVal=0, sdVal=1, ...)
``` |

`object` |
A GP object, created by |

`z` |
Vector of values for |

`sig2e` |
Noise variance component that distorts |

`meanVal` |
Optional mean value for |

`sdVal` |
Optional standard deviation value for |

`...` |
Other arguments. |

This function can be used in an MCMC context to calculate the Hastings correction that may be necessary in taking a quasi-Gibbs sample of the process coefficients, as part of one of the algorithms of Paciorek (2006). The function calculates and returns the logdensity.

The function returns the logdensity.

Christopher Paciorek [email protected]

Type 'citation("spectralGP")' for references.

`gp`

, `propose.coeff.gp`

, `updateprocess.gp`

spectralGP documentation built on May 29, 2017, 3:53 p.m.

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