Methods for heterogeneous treatment effect estimation

bagged.causalMARS | Fit a bag of causal MARS models |

causalBoosting | Fit a causal boosting model |

causalMARS | Fit a causal MARS model |

cv.causalBoosting | Fit a causal boosting model with cross validation |

pollinated.ranger | Pollinate a fitted ranger random forest model |

predict.bagged.causalMARS | Make predictions from a bag of fitted causal MARS models |

predict.causalBoosting | Make predictions from a fitted causal boosting model |

predict.causalMARS | Make predictions from a fitted causal MARS model |

predict.causalTree | Make predictions from a fitted causal tree model |

predict.cv.causalBoosting | Make predictions from a fitted cross-validated causal... |

predict.pollinated.ranger | Make predictions from a pollinated ranger random forest model |

predict.PTOforest | Make predictions from a fitted PTO forest model |

PTOforest | Fit a pollinated transformed outcome (PTO) forest model |

stratify | Get propensity strata from propensity scores |

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