Combining Matching and Linear Regression for Causal Inference

lalonde | Lalonde's National Supported Work Demonstration data |

lindner | Lindner Center data on 996 PCI patients analyzed by Kereiakes... |

mlr | Creating a series of matched data sets with different... |

mlr.bias | Treatment effect bias |

mlr.bias.constructor | Generating the treatment effect bias constructor vector |

mlr.combine.bias.variance | Combining bias and variance to produce total MSE for... |

mlr.generate.Z.o | Generating omitted covariates from included covariates |

mlr.match | Thin wrapper around 'Match' function from 'Matching' package |

mlr.orthogonalize | Orthogonalization of vectors with repsect to a matrix |

mlr.power | Power analysis for causal inference using linear regression |

mlr.smd | Standardized mean difference |

mlr.variance | Treatment effect variance |

plot.summary.mlr | Plotting diagnostic and calibration objects resulting from... |

summary.mlr | Applying diagnostic and calibration functions to mlr objects |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.