README.md

In RydenButler/attritR: Estimating average treatment effect under attrition on observables

attritR - Estimating Treatment Effects Under Conditions of Non-Random Attrition

attritR is a statistical package that uses inverse probability weighting to estimate treatment effects under non-random attrition due to treatment, observable confounding, and unobservable confounding. It implements the method derived by Martin Huber in “Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition” (Journal of Educational and Behavioral Statistics, vol. 37, no. 3, 443-474; 2012).

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("RydenButler/attritR")

RydenButler/attritR documentation built on Aug. 25, 2020, 3:57 p.m.