Stratification using classification trees for bootstrapping.

1 | ```
boot.ctree(Tr, Y, X, X.trans, formu, minStrata = 5, ...)
``` |

`Tr` |
vector indicating treatment assignment. |

`Y` |
vector of outcome. |

`X` |
matrix or data frame of covariates. |

`X.trans` |
a data frame of |

`formu` |
the formula to use to estimate propensity scores. Note that the
dependent varaible (i.e. treatment varaible) name will be updated using
the |

`minStrata` |
minimum number of treatment or control units within a strata to include that strata. |

`...` |
other parameters passed from |

jbryer/PSAboot documentation built on May 18, 2019, 7:01 p.m.

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