michaelpollmann/parTreat: Efficiently Estimate Treatment Effects Based On A Parametric Model For Treatment Effects
Efficiently estimate treatment effects imposing a parametric assumption on treatment effects of the form Y(1) = h(Y(0),theta). Currently two estimators for the additive model Y(1) = Y(0) + theta are implemented, as well as a helper function to use them to estimate treatment effects based on a multiplicative model.
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | Michael Pollmann <pollmann@stanford.edu> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
