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: NA
Author: Erin M. Buchanan ORCID iD [aut, cre]
Maintainer: Erin M. Buchanan <buchananlab at gmail.com>
License: LGPL-3
URL: http://www.aggieerin.com/ViSe/
NeedsCompilation: no
CRAN checks: ViSe results

Documentation:

Reference manual: ViSe.pdf
Vignettes: Package Functions

Downloads:

Package source: ViSe_0.1.2.tar.gz
Windows binaries: r-devel: ViSe_0.1.2.zip, r-release: ViSe_0.1.2.zip, r-oldrel: ViSe_0.1.2.zip
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

Linking:

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