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viscomp: Visualize Multi-Component Interventions in Network Meta-Analysis (original) (raw)

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>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: circlize (≥ 0.4.15), dplyr (≥ 1.0.9), ggExtra (≥ 0.10.0), ggnewscale (≥ 0.4.8), ggplot2 (≥ 3.3.6), Hmisc (≥ 4.7.0), MASS (≥ 7.3.56), netmeta (≥ 1.3-0), plyr (≥ 1.8.7), qgraph (≥ 1.9.2), reshape2 (≥ 1.4.4), tibble (≥ 3.1.7), tidyr (≥ 1.2.0)
Suggests: covr, knitr, rmarkdown
Published: 2023-01-16
DOI: 10.32614/CRAN.package.viscomp
Author: Georgios Seitidis ORCID iD [aut, cre], Sofia Tsokani ORCID iD [aut], Christos Christogiannis [aut], Katerina Maria Kontouli [aut], Alexandros Fyraridis [aut], Stavros NikolakopoulosORCID iD [aut], Areti Angeliki VeronikiORCID iD [aut], Dimitris Mavridis ORCID iD [aut]
Maintainer: Georgios Seitidis <g.seitidis at uoi.gr>
BugReports: https://github.com/georgiosseitidis/viscomp/issues
License: GPL (≥ 3)
URL: https://github.com/georgiosseitidis/viscomp,https://georgiosseitidis.github.io/viscomp/
NeedsCompilation: no
Materials: README, NEWS
In views: MetaAnalysis
CRAN checks: viscomp results

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