Description Usage Arguments Value

Starting with the default value of mtry, search for the optimal value (with respect to Out-of-Bag error estimate) of mtry for randomForest.

1 2 |

`x, ` |
matrix or data frame of predictor variables, |

`offset, ` |
vector with log exposure, |

`y, ` |
response vector, |

`mtryStart, ` |
starting value of mtry; default is the same as in |

`ntreeTry, ` |
number of trees used at the tuning step |

`stepFactor, ` |
at each iteration, mtry is inflated (or deflated) by this value |

`improve, ` |
the (relative) improvement in OOB error must be by this much for the search to continue |

`trace, ` |
whether to print the progress of the search |

`plot, ` |
whether to plot the OOB error as function of mtry |

`doBest, ` |
whether to run a forest using the optimal mtry found |

`..., ` |
options to be given to |

If `doBest=FALSE`

(default), it returns a matrix whose first
column contains the mtry values searched, and the second column the corresponding OOB error.
If `doBest=TRUE`

, it returns the `rfPoisson`

object produced with the optimal `mtry`

.

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