ATE-package: Nonparametric efficient inference of the average treatment...

In ATE: Inference for Average Treatment Effects using Covariate Balancing

Description

This package provides a user-friendly interface for nonparametric efficient inference of average treatment effects for observational data. The package provides point estimates for average treatment effects, average treatment effect on the treated and can also handle the case of multiple treatments. The package also allows inference by consistent variance estimates. The point estimates for the treatment effect and variance estimates are described in Chan et al. (2015).

Details

Package:	ATE
Type:	Package
Version:	0.2.0
Date:	2015-02-16
License:	GPL (>= 2)

The package includes the following functions:

ATE:	Estimate the average treatment effect
summary.ATE:	summary method for class "ATE"
plot.ATE:	Plot function for class "RIPW"
cr.rho:	The Cressie and Read class of objective functions

Author(s)

Asad Haris, Gary Chan

Maintainer: Asad Haris <[e-mail]>

References

Chan, K. C. G. and Yam, S. C. P. and Zhang, Z. (2015). "Globally Efficient Nonparametric Inference of Average Treatment Effects by Empirical Balancing Calibration Weighting", under review.

See Also

ATE, summary.ATE, plot.ATE, cr.rho

ATE documentation built on May 1, 2019, 7:33 p.m.