kolesarm/ATEHonest: Honest Inference for Treatment Effects under Unconfoundedness
Construct matching estimators, and optimal linear estimators, along with honest confidence intervals for conditional and population average treatment effects under unconfoundedness under the assumption that the regression function satisfies a Lipschitz constraint.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.1.2 |
| URL | https://github.com/kolesarm/ATEHonest |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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