Description Usage Arguments Value

View source: R/sid_main_algorithm.R

Calculate the p-value for a list of trees (groupings).

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`data_train` |
Training data. |

`data_test` |
Testing data. |

`tree_list` |
List of trees. |

`g0` |
The Baseline goodness, if known. Can be |

`classifier` |
A classifier function, default is svm (from the e1071 package). |

`Rmin` |
Ninimum number of replications. Default is 250. |

`Rmax` |
Maximum number of replications. Default is 500. |

`alpha` |
The confidence level at which we are evaluating statistical significance of the tree. |

`z` |
Parameter for confidence band. Use 1.96 for 95 percent, 2.25 for 97.5 percent and 2.57 for 99 percent. Default is 2.57. |

`parallel` |
Calculate in parallel (Boolean, default is |

`early_stopping` |
Use early stopping. Default is |

The treelist with the p-values added.

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