pstest: Specification Tests for Parametric Propensity Score Models
Version 0.1.1

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.

AuthorPedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>, Xiajoun Song <sxj@gsm.pku.edu.cn>
Date of publication2016-11-21 12:01:58
MaintainerPedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
LicenseGPL-2
Version0.1.1
URL https://github.com/pedrohcgs/pstest
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("pstest")

Getting started

Package overview
README.md

Popular man pages

pstest: pstest: Tests for the Propensity Score
pstest-package: pstest: An R Package for assessing the goodness-of-fit of...
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All man pages Function index File listing

Man pages

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

Functions

pstest Man page Source code
pstest-package Man page

Files

NAMESPACE
R
R/pstest.R
R/pstest.package.R
README.md
MD5
DESCRIPTION
man
man/pstest-package.Rd
man/pstest.Rd
pstest documentation built on May 19, 2017, 12:17 p.m.

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