Package: pstest
Type: Package
Title: Specification Tests for Parametric Propensity Score Models
Version: 0.1.3.900
Author: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>,
        Xiaojun Song <sxj@gsm.pku.edu.cn>
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
Description: 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 implements the data-driven nonparametric diagnostic
        tools for detecting propensity score misspecification proposed
        by Sant'Anna and Song (2019)
        <doi:10.1016/j.jeconom.2019.02.002>.
URL: https://github.com/pedrohcgs/pstest
Depends: R (>= 3.1)
Imports: stats, parallel, glmx, MASS, utils
License: GPL-2
Encoding: UTF-8
RoxygenNote: 6.1.1.9000
Date: 2019-08-25 10:45
Repository: https://pedrohcgs.r-universe.dev
Date/Publication: 2022-07-20 21:50:01 UTC
RemoteUrl: https://github.com/pedrohcgs/pstest
RemoteRef: HEAD
RemoteSha: 0c09331a83d2406ef903315ec7eaadaad6f1a193
NeedsCompilation: no
Packaged: 2026-07-03 12:09:12 UTC; root