Package: viscomp 1.0.0

viscomp: Visualize Multi-Component Interventions in Network Meta-Analysis

A set of functions providing several visualization tools for exploring the behavior of the components in a network meta-analysis of multi-component (complex) interventions: - components descriptive analysis - heat plot of the two-by-two component combinations - leaving one component combination out scatter plot - violin plot for specific component combinations' effects - density plot for components' effects - waterfall plot for the interventions' effects that differ by a certain component combination - network graph of components - rank heat plot of components for multiple outcomes. The implemented tools are described by Seitidis et al. (2023) <doi:10.1002/jrsm.1617>.

Authors:Georgios Seitidis [aut, cre], Sofia Tsokani [aut], Christos Christogiannis [aut], Katerina Maria Kontouli [aut], Alexandros Fyraridis [aut], Stavros Nikolakopoulos [aut], Areti Angeliki Veroniki [aut], Dimitris Mavridis [aut]

viscomp_1.0.0.tar.gz
viscomp_1.0.0.zip(r-4.5)viscomp_1.0.0.zip(r-4.4)viscomp_1.0.0.zip(r-4.3)
viscomp_1.0.0.tgz(r-4.5-any)viscomp_1.0.0.tgz(r-4.4-any)viscomp_1.0.0.tgz(r-4.3-any)
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viscomp.pdf |viscomp.html✨
viscomp/json (API)
NEWS

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

Bug tracker:https://github.com/georgiosseitidis/viscomp/issues

Pkgdown site:https://georgiosseitidis.github.io

Datasets:
  • MACE - Major Adverse Cardiovascular Event
  • nmaMACE - Network Meta-Analysis of Major Adverse Cardiovascular Event

On CRAN:

Conda:

cnmacomplexmulticomponentnmavisualization

4.00 score 2 stars 6 scripts 213 downloads 8 exports 133 dependencies

Last updated 2 years agofrom:7edf8775db. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winNOTEMar 08 2025
R-4.5-macNOTEMar 08 2025
R-4.5-linuxNOTEMar 08 2025
R-4.4-winNOTEMar 08 2025
R-4.4-macNOTEMar 08 2025
R-4.4-linuxNOTEMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:compdesccompGraphdenscompheatcomploccosrankheatplotspeccwatercomp

Dependencies:abindbackportsbase64encbitbit64bootbslibcachemcheckmatecirclizeclicliprclustercolorspacecolourpickercommonmarkCompQuadFormcorpcorcpp11crayondata.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggExtraggnewscaleggplot2glassoGlobalOptionsglueGPArotationgridExtragtablegtoolshighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvigraphisobandjpegjquerylibjsonliteknitrlabelinglaterlatticelavaanlifecyclelme4magicmagrittrMASSmathjaxrMatrixmemoisemetametadatmetaformgcvmimeminiUIminqamnormtmunsellmvtnormnetmetanlmenloptrnnetnumDerivpbapplypbivnormpillarpkgconfigplyrpngprettyunitsprogresspromisespsychpurrrqgraphquadprogR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasreshape2rlangrmarkdownrpartrstudioapisassscalesshapeshinyshinyjssourcetoolsstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisviridisLitevroomwithrxfunxml2xtableyaml

An introduction to network meta-analysis using the viscomp package

Georgios Seitidis

Rendered fromviscomp.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2023-01-13
Started: 2022-05-27