Description Usage Arguments Details Value Author(s)

Predicts future observations from the `STBDwDM`

model.

1 2 |

`object` |
a |

`NewTimes` |
a numeric vector including desired time(s) points for prediction. |

`...` |
other arguments. |

`predict.STBDwDM`

uses Bayesian krigging to predict vectors at future
time points. The function returns the krigged observed outcomes along with the
observational level parameters (`mu`

, `tau`

, and `alpha`

).

`predict.STBDwDM`

returns a list containing the following objects.

`MuTauAlpha`

A

`list`

containing three matrices,`mu`

,`tau`

and`alpha`

. Each matrix is dimension`NKeep x s`

, where`s`

is the number of new time points. Each matrix contains posterior samples obtained by Bayesian krigging.`Y`

A

`list`

containing`s`

posterior predictive distribution matrices. Each matrix is dimension`NKeep x s`

, where`s`

is the number of new time points. Each matrix is obtained through Bayesian krigging.

Samuel I. Berchuck

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