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: 0.0.9
Depends: R (≥ 3.1.0)
Imports: colourpicker, dplyr, egg, ggplot2, ggstance, markdown, shiny, shinyjs, stats, tidyr, table1, data.table, utils
Suggests: clipr, formatR, MASS, knitr, rmarkdown, mrgsolve, ggridges, ggrepel, patchwork, bayestestR, plotly, scales, shinyAce, Rcpp, gamlss.dist
Published: 2020-04-03
Author: Samer Mouksassi ORCID iD [aut, cre], Dean Attali [ctb]
Maintainer: Samer Mouksassi <samermouksassi at gmail.com>
BugReports: https://github.com/smouksassi/interactiveforestplot/issues
License: MIT + file LICENSE
URL: https://github.com/smouksassi/interactiveforestplot
NeedsCompilation: no
SystemRequirements: pandoc with https support
Materials: README NEWS
CRAN checks: coveffectsplot results

Downloads:

Reference manual: coveffectsplot.pdf
Vignettes: Exposure_Response_Example
Introduction to coveffectsplot
Pediatric_Cov_Sim
Package source: coveffectsplot_0.0.9.tar.gz
Windows binaries: r-prerelease: coveffectsplot_0.0.9.zip, r-release: coveffectsplot_0.0.9.zip, r-oldrel: coveffectsplot_0.0.9.zip
macOS binaries: r-prerelease: coveffectsplot_0.0.9.tgz, r-release: coveffectsplot_0.0.9.tgz, r-oldrel: coveffectsplot_0.0.5.tgz
Old sources: coveffectsplot archive

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