AsyVar |
Asymptotic Variance and Confidence Interval Estimation of the ATE |

balance |
Optimal Covariate Balance |

balance.CBPS |
Calculates the pre- and post-weighting difference in standardized means for covariate within each contrast |

balance.CBPSContinuous |
Calculates the pre- and post-weighting correlations between each covariate and the T |

balance.npCBPS |
Calls the appropriate balance function based on the number of treatments |

Blackwell |
Blackwell Data for Covariate Balancing Propensity Score |

CBIV |
Covariate Balancing Propensity Score for Instrumental Variable Estimates (CBIV) |

CBMSM |
Covariate Balancing Propensity Score (CBPS) for Marginal Structural Models |

CBMSM.fit |
CBMSM.fit |

CBPS |
Covariate Balancing Propensity Score (CBPS) Estimation |

CBPS.fit |
CBPS.fit determines the proper routine (what kind of treatment) and calls the approporiate function. It also pre- and post-processes the data |

hdCBPS |
hdCBPS high dimensional CBPS method to parses the formula object and passes the result to hdCBPS.fit, which calculates ATE using CBPS method in a high dimensional setting. |

hdCBPS.fit |
hdCBPS high dimensional CBPS method to parses the formula object and passes the result to hdCBPS.fit, which calculates ATE using CBPS method in a high dimensional setting. |

LaLonde |
LaLonde Data for Covariate Balancing Propensity Score |

npCBPS |
Non-Parametric Covariate Balancing Propensity Score (npCBPS) Estimation |

npCBPS.fit |
npCBPS.fit |

plot.CBMSM |
Plotting CBPS Estimation for Marginal Structural Models |

plot.CBPS |
Plotting Covariate Balancing Propensity Score Estimation |

plot.CBPSContinuous |
Plot the pre-and-post weighting correlations between X and T |

plot.npCBPS |
Calls the appropriate plot function, based on the number of treatments |

print.CBPS |
Print coefficients and model fit statistics |

summary.CBPS |
Summarizing Covariate Balancing Propensity Score Estimation |

vcov.CBPS |
Calculate Variance-Covariance Matrix for a Fitted CBPS Object |

vcov_outcome |
Calculate Variance-Covariance Matrix for Outcome Model |

vcov_outcome.CBPSContinuous |
vcov_outcome |