The Augmented Synthetic Control Method

augsynth | Fit Augmented SCM |

augsynth-package | augsynth: A package implementing the Augmented Synthetic... |

fit_augsyn | Fit outcome model and balance pre-period |

fit_augsyn_formatted | Fit E[Y(0)|X] and for each post-period and balance pre-period |

fit_prog_causalimpact | Fit a bayesian structural time series to fit E[Y(0)|X] |

fit_prog_cits | Fit a Comparitive interupted time series to fit E[Y(0)|X] |

fit_prog_gsynth | Use gsynth to fit factor model for E[Y(0)|X] |

fit_prog_mcpanel | Use Athey (2017) matrix completion panel data code |

fit_prog_reg | Use a separate regularized regression for each post period to... |

fit_prog_rf | Use a separate random forest regression for each post period... |

fit_prog_seq2seq | Fit a seq2seq model with a feedforward net to fit E[Y(0)|X] |

fit_progsyn | Fit E[Y(0)|X] and for each post-period and balance these |

fit_progsyn_formatted | Fit E[Y(0)|X] and for each post-period and balance these |

fit_residaug | Fit outcome model and balance residuals |

fit_residaug_formatted | Fit outcome model and balance residuals |

fit_ridgeaug_formatted | Ridge augmented weights (possibly with covariates) |

fit_synth_formatted | Fit synthetic controls on outcomes after formatting data |

fit_zero_weights | Use zero weights, do nothing but output everything in the... |

format_data | Format "long" panel data into "wide" program evaluation... |

format_synth | Format program eval matrices into synth form |

loo_se_ridgeaug | Use leave out one estimates (placebo gaps) to estimate... |

plot.augsynth | Plot function for augsynth |

plot.summary.augsynth | Plot function for summary function for augsynth |

predict.augsynth | Get prediction of average outcome under control |

print.augsynth | Print function for augsynth |

print.summary.augsynth | Print function for summary function for augsynth |

summary.augsynth | Summary function for augsynth |

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