pedrohcgs/pstest: Specification Tests for Parametric Propensity Score Models
Version 0.1.2.903

The propensity score is one of the most widely used tools in studying the causal effect of a treatment, intervention, or policy. Given that the propensity score is usually unknown, it has to be estimated, implying that the reliability of many treatment effect estimators depends on the correct specification of the (parametric) propensity score. This package provides data-driven nonparametric diagnostic tools for detecting propensity score misspecification.

Getting started

Package details

AuthorPedro H. C. Sant'Anna <[email protected]>, Xiaojun Song <[email protected]>
MaintainerPedro H. C. Sant'Anna <[email protected]>
LicenseGPL-2
Version0.1.2.903
URL https://github.com/pedrohcgs/pstest
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("pedrohcgs/pstest")
pedrohcgs/pstest documentation built on May 24, 2017, 3:28 a.m.