Package: coveffectsplot
Title: Produce Forest Plots to Visualize Covariate Effects
Version: 0.0.9.1
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/coveffectsplot
BugReports: https://github.com/smouksassi/coveffectsplot/issues
Depends: R (>= 3.6.0), data.table (>= 1.9.8)
Imports: colourpicker, dplyr, egg, ggplot2 (>= 3.3.2), markdown, shiny,
        shinyjs, stats, tidyr, table1, utils
Suggests: clipr, formatR, MASS, knitr, rmarkdown, mrgsolve, ggridges,
        ggrepel, ggstance, patchwork, bayestestR, plotly, scales,
        shinyAce, Rcpp, gamlss.dist
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-12-10 14:54:45 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: 2020-12-10 15:50:09 UTC
Built: R 3.6.2; ; 2020-12-11 13:33:48 UTC; unix
