Description Usage Arguments Details Value Author(s) See Also
Prints a summary of a fitted CBPS object.
1 2 |
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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