`localProcedure.Rd`

A variable selection approach performed by permuting the response.

localProcedure( model, data, response, numRep = 10, numTreesRep = NULL, alpha = 0.5, shift = FALSE )

model | Model created from either the BART, dbarts or bartMachine packages. |
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data | A data frame containing variables in the model. |

response | The name of the response for the fit. |

numRep | The number of replicates to perform for the BART null model's variable inclusion proportions. |

numTreesRep | The number of trees to be used in the replicates. As suggested by Chipman (2009), a small number of trees is recommended (~20) to force important variables to used in the model. If NULL, then the number of trees from the true model is used. |

alpha | The cut-off level for the thresholds. |

shift | Whether to shift the inclusion proportion points by the difference in distance between the quantile and the value of the inclusion proportion point. |

A variable selection plot using the local procedure method.