Produce Forest Plots to Visualize Covariate Effects R package coveffectsplot version 1.0.7 Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application. Software 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 Samer Mouksassi <samermouksassi@gmail.com> Comprehensive R Archive Network (CRAN) Samer Mouksassi [aut, cre] (ORCID: <https://orcid.org/0000-0002-7152-6654>), Benjamin Rich [aut], Dean Attali [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=coveffectsplot/LICENSE) 2025-09-16 application/tgz https://CRAN.R-project.org/package=coveffectsplot doi:10.32614/CRAN.package.coveffectsplot