SelectionBias: Calculates Bounds for the Selection Bias for Binary Treatment and Outcome Variables

Computes bounds and sensitivity parameters as part of sensitivity analysis for selection bias. Different bounds are provided: the SV (Smith and VanderWeele), sharp bounds, AF (assumption-free) bound, GAF (generalized AF), and CAF (counterfactual AF) bounds. The calculation of the sensitivity parameters for the SV, sharp, and GAF bounds assume an additional dependence structure in form of a generalized M-structure. The bounds can be calculated for any structure as long as the necessary assumptions hold. See Smith and VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>, Zetterstrom, Sjölander, and Waernabum (2025) <doi:10.1177/09622802251374168>, Zetterstrom and Waernbaum (2022) <doi:10.1515/em-2022-0108>, and Zetterstrom (2024) <doi:10.1515/em-2023-0033>.

Version:	2.1.0
Depends:	R (≥ 3.5.0)
Imports:	arm, lifecycle, stats
Suggests:	knitr, table1, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-10-13
DOI:	10.32614/CRAN.package.SelectionBias
Author:	Stina Zetterstrom [aut, cre], Ingeborg Waernbaum [aut]
Maintainer:	Stina Zetterstrom <stina.zetterstrom at gmail.com>
BugReports:	https://github.com/StinaZet/SelectionBias/issues
License:	MIT + file LICENSE
URL:	https://github.com/StinaZet/SelectionBias
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	SelectionBias results

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