ViSe: Visualizing Sensitivity

Designed to help the user to determine the sensitivity of an proposed causal effect to unconsidered common causes. Users can create visualizations of sensitivity, effect sizes, and determine which pattern of effects would support a causal claim for between group differences. Number needed to treat formula from Kraemer H.C. & Kupfer D.J. (2006) <doi:10.1016/j.biopsych.2005.09.014>.

Version: 0.1.2
Depends: R (≥ 3.1.0)
Imports: stats, ggplot2, methods, dplyr, tidyr, scales, cowplot, shiny
Suggests: knitr, rmarkdown, plotly
Published: 2024-04-22
DOI: 10.32614/CRAN.package.ViSe
Author: Erin M. Buchanan ORCID iD [aut, cre]
Maintainer: Erin M. Buchanan <buchananlab at>
License: LGPL-3
NeedsCompilation: no
CRAN checks: ViSe results


Reference manual: ViSe.pdf
Vignettes: Package Functions


Package source: ViSe_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ViSe_0.1.2.tgz, r-oldrel (arm64): ViSe_0.1.2.tgz, r-release (x86_64): ViSe_0.1.2.tgz, r-oldrel (x86_64): ViSe_0.1.2.tgz


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