Description Usage Arguments Value

Stepise backward non-exhaustive greedy search, calculates the optimum value of the discount factor.

1 2 | ```
stepwise.backward(Data, node, nbf = 15, delta = seq(0.5, 1, 0.01),
max.break = TRUE, priors = priors.spec())
``` |

`Data` |
Dataset with dimension number of time points |

`node` |
The node to find parents for. |

`nbf` |
The Log Predictive Likelihood will sum from (and including) this time point. |

`delta` |
A vector of values for the discount factor. |

`max.break` |
If |

`priors` |
List with prior hyperparameters. |

model.store The parents, LPL and chosen discount factor for the subset of models scored using this method.

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