Package: ViSe 0.1.3

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>.

Authors:Erin M. Buchanan [aut, cre]

ViSe_0.1.3.tar.gz
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ViSe_0.1.3.tgz(r-4.4-any)ViSe_0.1.3.tgz(r-4.3-any)
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ViSe.pdf |ViSe.html✨
ViSe/json (API)

# Install 'ViSe' in R:
install.packages('ViSe', repos = c('https://doomlab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/doomlab/vise/issues

On CRAN:

4.78 score 1 stars 9 scripts 517 downloads 15 exports 60 dependencies

Last updated 27 days agofrom:7573f7142f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 10 2024
R-4.5-winOKOct 10 2024
R-4.5-linuxOKOct 10 2024
R-4.4-winOKOct 10 2024
R-4.4-macOKOct 10 2024
R-4.3-winOKOct 10 2024
R-4.3-macOKOct 10 2024

Exports:adjusted_coefapacalculate_dd_to_f2d_to_nntd_to_restimate_destimate_rother_to_dprobability_superiorityproportion_overlaprunExamplevisualize_cvisualize_c_mapvisualize_effects

Dependencies:base64encbslibcachemclicolorspacecommonmarkcowplotcpp11crayondigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangsassscalesshinysourcetoolsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable

Package Functions

Rendered fromPackage_Functions.Rmdusingknitr::rmarkdownon Oct 10 2024.

Last update: 2024-10-10
Started: 2023-10-03