Package: confoundvis
Type: Package
Title: Visualization Tools for Sensitivity Analysis of Unmeasured
        Confounding
Version: 0.1.0
Authors@R: 
    person(
      given = "Subir",
      family = "Hait",
      role = c("aut", "cre"),
      email = "haitsubi@msu.edu",
      comment = c(ORCID = "0009-0004-9871-9677")
    )
Description: Provides visualization tools for sensitivity analysis to
        unmeasured confounding in observational studies. Includes
        contour-based sensitivity plots, robustness curves, and
        benchmark-oriented graphics that help researchers assess how
        strong omitted confounding would need to be to attenuate,
        invalidate, or reverse estimated effects. Supports
        regression-based sensitivity analysis frameworks, including
        impact threshold approaches (Frank, 2000,
        <doi:10.1177/0049124100029002001>), partial R-squared methods
        (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>), and
        E-value style metrics (VanderWeele and Ding, 2017,
        <doi:10.7326/M16-2607>). Emphasizes clear, interpretable, and
        publication-ready graphical summaries for transparent reporting
        of causal sensitivity analyses across the social, behavioral,
        health, and educational sciences.
License: GPL-3
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), rlang, graphics, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, gridExtra
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/confoundvis
BugReports: https://github.com/causalfragility-lab/confoundvis/issues
Repository: https://causalfragility-lab.r-universe.dev
Date/Publication: 2026-03-30 16:52:37 UTC
RemoteUrl: https://github.com/causalfragility-lab/confoundvis
RemoteRef: HEAD
RemoteSha: bd9347316b24d0b801d229474918f7a2e471758f
NeedsCompilation: no
Packaged: 2026-07-04 19:58:41 UTC; root
Author: Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>)
Maintainer: Subir Hait <haitsubi@msu.edu>