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
LazyData: TRUE
RoxygenNote: 6.1.1.9000
Date: 2019-08-25 10:45
NeedsCompilation: no
Packaged: 2019-08-25 15:40:05 UTC; santanph
Repository: CRAN
Date/Publication: 2019-08-26 09:30:05 UTC
Built: R 4.6.0; ; 2025-08-18 04:32:20 UTC; unix
