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coveffectsplot: Produce Forest Plots to Visualize Covariate Effects

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

Version: 1.0.6
Depends: R (≥ 4.0.0), data.table (≥ 1.9.8)
Imports: colourpicker, egg, grid, ggplot2 (≥ 3.3.2), 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: 2025-01-12
DOI: 10.32614/CRAN.package.coveffectsplot
Author: Samer Mouksassi ORCID iD [aut, cre], Benjamin Rich [aut], Dean Attali [ctb]
Maintainer: Samer Mouksassi <samermouksassi at gmail.com>
BugReports: https://github.com/smouksassi/coveffectsplot/issues
License: MIT + file LICENSE
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:

Reference manual: coveffectsplot.pdf
Vignettes: Exposure_Response_Example (source, R code)
PKPD_Example (source, R code)
PK_Example (source, R code)
PK_Example_full (source, R code)
Pediatric_Cov_Sim (source, R code)
Shiny App (source)
Introduction_to_coveffectsplot (source, R code)

Downloads:

Package source: coveffectsplot_1.0.6.tar.gz
Windows binaries: r-devel: coveffectsplot_1.0.6.zip, r-release: coveffectsplot_1.0.6.zip, r-oldrel: coveffectsplot_1.0.6.zip
macOS binaries: r-release (arm64): coveffectsplot_1.0.6.tgz, r-oldrel (arm64): coveffectsplot_1.0.6.tgz, r-release (x86_64): coveffectsplot_1.0.6.tgz, r-oldrel (x86_64): coveffectsplot_1.0.6.tgz
Old sources: coveffectsplot archive

Reverse dependencies:

Reverse suggests: NMsim

Linking:

Please use the canonical form https://CRAN.R-project.org/package=coveffectsplot to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.