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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 |
Maintainer: | Erin M. Buchanan <buchananlab at gmail.com> |
License: | LGPL-3 |
URL: | http://www.aggieerin.com/ViSe/ |
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: 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 |
Please use the canonical form https://CRAN.R-project.org/package=ViSe to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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