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 |
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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 |
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 |
Documentation:
Downloads:
Reverse dependencies:
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