# Calculates Hastings value of coefficients

### Description

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`

.

### Usage

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

### Arguments

`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. |

### Details

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.

### Value

The function returns the logdensity.

### Author(s)

Christopher Paciorek paciorek@alumni.cmu.edu

### References

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

### See Also

`gp`

, `propose.coeff.gp`

, `updateprocess.gp`

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.