Description Usage Arguments Value See Also

View source: R/jlctree.control.R

Sets the control parameters for `jlctree`

.

1 2 3 | ```
jlctree.control(test.stat = "lrt", stop.thre = 3.84, stable = TRUE,
maxng = 6, min.nevents = 5, split.add = 20, cov.max = 1e+05,
fity = TRUE, fits = TRUE, ...)
``` |

`test.stat` |
test statistic to use, “lrt” for likelihood ratio test, and “wald” for Wald test. Default is “lrt”. |

`stop.thre` |
stops splitting if current node has test statistic less than |

`stable` |
if TRUE, check the variance of the estimated coefficients in survival models fit at tree nodes.
If a node has variance larger than |

`maxng` |
maximum number of terminal nodes. Default is 6. |

`min.nevents` |
minimum number of events in any terminal node. By default, this parameter is set to the number of covariates used in the survival model. |

`split.add` |
when computing the difference between parent node's test statistic
and sum of child nodes' test statistics, add |

`cov.max` |
upper bound on the variance of the estimated coefficients in survival models at tree nodes. Default is 1e5. |

`fity` |
if TRUE, once a tree is constructed, fit a linear mixed-effects model using tree nodes as group indicators. Default is TRUE. |

`fits` |
if TRUE, once a tree is constructed, fit survival models using tree nodes as group indicators. Default is TRUE. |

`...` |
further arguments to pass to or from other methods. |

A list of all these parameters.

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