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message: 'To cite package "PSor" in publications use:'
type: software
license: MIT
title: 'PSor: Semiparametric Principal Stratification Analysis Beyond Monotonicity'
version: 0.1.0
doi: 10.32614/CRAN.package.PSor
abstract: Estimates principal causal effects under principal stratification using
  a margin-free, conditional odds ratio sensitivity parameter. This framework unifies
  the monotonicity assumption and the counterfactual intermediate independence assumption,
  allowing for robust analysis when monotonicity may not hold. Computes point estimates,
  standard errors, and confidence intervals for conditionally doubly robust and debiased
  machine learning estimators. The methodological details are described in Tong, Kahan,
  Harhay, and Li (2025) <https://doi.org/10.48550/arXiv.2501.17514>.
authors:
- family-names: Tong
  given-names: Jiaqi
  email: jiaqi.tong@yale.edu
  orcid: https://orcid.org/0009-0005-8922-3386
repository: https://deckardt98.r-universe.dev
repository-code: https://github.com/deckardt98/PSor
commit: 8f086cf4a502d7ddecf47daae74ce2b9389bf49a
url: https://github.com/deckardt98/PSor
date-released: '2026-04-22'
contact:
- family-names: Tong
  given-names: Jiaqi
  email: jiaqi.tong@yale.edu
  orcid: https://orcid.org/0009-0005-8922-3386