Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application.
Version: | 0.0.5 |
Depends: | R (≥ 3.1.0) |
Imports: | colourpicker, dplyr, egg, ggplot2, ggstance, ggridges, markdown, shiny, shinyjs, stats, tidyr, utils |
Suggests: | MASS, knitr, rmarkdown, mrgsolve, ggrepel, table1, patchwork, bayestestR, plotly, scales, Rcpp |
Published: | 2020-02-06 |
Author: | Samer Mouksassi |
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 |
Reference manual: | coveffectsplot.pdf |
Vignettes: |
Exposure_Response_Example PKPD_Example PK_Example Introduction to coveffectsplot |
Package source: | coveffectsplot_0.0.5.tar.gz |
Windows binaries: | r-devel: coveffectsplot_0.0.5.zip, r-devel-gcc8: coveffectsplot_0.0.4.zip, r-release: coveffectsplot_0.0.5.zip, r-oldrel: coveffectsplot_0.0.5.zip |
OS X binaries: | r-release: coveffectsplot_0.0.5.tgz, r-oldrel: coveffectsplot_0.0.5.tgz |
Old sources: | coveffectsplot archive |
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