coveffectsplot: Produce Forest Plots to Visualize Covariate Effects (original) (raw)

Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application.

Version: 1.0.7
Depends: R (≥ 4.0.0)
Imports: colourpicker, data.table (≥ 1.9.8), egg, grid, ggplot2 (≥ 4.0.0), shiny, stats, utils
Suggests: markdown, dplyr, tidyr, shinyjs, shinymeta, table1, clipr, formatR, MASS, knitr, rmarkdown, mrgsolve, GGally, ggridges, ggrepel, ggstance, patchwork, plotly, scales, shinyAce, Rcpp, gamlss.dist, ggdist, ggh4x, ggpmisc, quantreg
Published: 2025-09-16
DOI: 10.32614/CRAN.package.coveffectsplot
Author: Samer Mouksassi ORCID iD [aut, cre], Benjamin Rich [aut], Dean Attali [ctb]
Maintainer: Samer Mouksassi
BugReports: https://github.com/smouksassi/coveffectsplot/issues
License: MIT + file
URL: https://smouksassi.github.io/coveffectsplot/,https://github.com/smouksassi/coveffectsplot
NeedsCompilation: no
SystemRequirements: pandoc with https support
Citation: coveffectsplot citation info
Materials: README, NEWS
CRAN checks: coveffectsplot results

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