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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "pstest" in publications use:'
type: software
license: GPL-2.0-only
title: 'pstest: Specification Tests for Parametric Propensity Score Models'
version: 0.1.3.900
doi: 10.32614/CRAN.package.pstest
abstract: 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) <https://doi.org/10.1016/j.jeconom.2019.02.002>.
authors:
- family-names: Sant'Anna
  given-names: Pedro H. C.
  email: pedro.h.santanna@vanderbilt.edu
- family-names: Song
  given-names: Xiaojun
  email: sxj@gsm.pku.edu.cn
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/pedrohcgs/pstest
commit: f9774052f6b6b45398422c0d3fc0f611bb365cb4
url: https://github.com/pedrohcgs/pstest
date-released: '2019-08-25'
contact:
- family-names: Sant'Anna
  given-names: Pedro H. C.
  email: pedro.h.santanna@vanderbilt.edu