pstest: Specification Tests for Parametric Propensity Score Models

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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.

Author
Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>, Xiajoun Song <sxj@gsm.pku.edu.cn>
Date of publication
2016-11-21 12:01:58
Maintainer
Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
License
GPL-2
Version
0.1.1
URLs

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Man pages

pstest
pstest: Tests for the Propensity Score
pstest-package
pstest: An R Package for assessing the goodness-of-fit of...

Files in this package

pstest
pstest/NAMESPACE
pstest/R
pstest/R/pstest.R
pstest/R/pstest.package.R
pstest/README.md
pstest/MD5
pstest/DESCRIPTION
pstest/man
pstest/man/pstest-package.Rd
pstest/man/pstest.Rd