Description Usage Arguments Details Value Author(s) See Also

Prints a summary of a fitted CBPS object.

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`object` |
an object of class “CBPS”, usually, a result of a call to CBPS. |

`...` |
Additional arguments to be passed to summary. |

Prints a summmary of a CBPS object, in a format similar to glm. The variance matrix is calculated from the numerical Hessian at convergence of CBPS.

`call` |
The matched call. |

`deviance.residuals` |
The five number summary and the mean of the deviance residuals. |

`coefficients` |
A table including the estimate for the each coefficient and the standard error, z-value, and two-sided p-value for these estimates. |

`J` |
Hansen's J-Statistic for the fitted model. |

`Log-Likelihood` |
The log-likelihood of the fitted model. |

Christian Fong, Marc Ratkovic, and Kosuke Imai.

CBPS, summary

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