summary.CBPS: Summarizing Covariate Balancing Propensity Score Estimation

Description Usage Arguments Details Value Author(s) See Also

View source: R/CBPSMain.R

Description

Prints a summary of a fitted CBPS object.

Usage

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## S3 method for class 'CBPS'
summary(object, ...)

Arguments

object

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

...

Additional arguments to be passed to summary.

Details

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.

Value

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.

Author(s)

Christian Fong, Marc Ratkovic, and Kosuke Imai.

See Also

CBPS, summary


CBPS documentation built on June 17, 2018, 9:01 a.m.

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