Package: coveffectsplot
Title: Produce Forest Plots to Visualize Covariate Effects
Version: 0.0.5
Authors@R: c(
    person("Samer", "Mouksassi", email = "samermouksassi@gmail.com",
      role = c("aut", "cre"),comment = c(ORCID = "https://orcid.org/0000-0002-7152-6654")),
    person("Dean", "Attali", email = "daattali@gmail.com",
      role = c("ctb"))
    )
Description: Produce forest plots to visualize covariate effects using either
    the command line or an interactive 'Shiny' application.
URL: https://github.com/smouksassi/interactiveforestplot
BugReports: https://github.com/smouksassi/interactiveforestplot/issues
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
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-02-06 10:27:53 UTC; smouksas
Author: Samer Mouksassi [aut, cre] (<https://orcid.org/0000-0002-7152-6654>),
  Dean Attali [ctb]
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>
Repository: CRAN
Date/Publication: 2020-02-06 11:20:02 UTC
Built: R 3.5.2; ; 2020-02-07 11:26:15 UTC; unix
