Produce Forest Plots to Visualize Covariate Effects
c(
person("Samer", "Mouksassi", email = "samermouksassi@gmail.com",
role = c("aut", "cre")),
person("Dean", "Attali", email = "daattali@gmail.com",
role = c("ctb"))
)
Produce forest plots to visualize covariate effects using either
the command line or an interactive 'Shiny' application.
colourpicker, dplyr, egg, ggplot2, ggstance, markdown, shiny,
shinyjs, stats, tidyr, utils
Samer Mouksassi [aut, cre],
Dean Attali [ctb]

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"))
)
MASS, knitr, rmarkdown, ggridges, plotly
Samer Mouksassi [aut, cre] (<https://orcid.org/0000-0002-7152-6654>),
Dean Attali [ctb]

colourpicker, dplyr, egg, ggplot2, ggstance, ggridges,
markdown, shiny, shinyjs, stats, tidyr, utils
MASS, knitr, rmarkdown, mrgsolve, ggrepel, table1, patchwork,
bayestestR, plotly, scales, Rcpp

colourpicker, dplyr, egg, ggplot2 (>= 3.3.2), markdown, shiny,
shinyjs, stats, tidyr, table1, utils
clipr, formatR, MASS, knitr, rmarkdown, mrgsolve, ggridges,
ggrepel, ggstance, patchwork, bayestestR, plotly, scales,
shinyAce, Rcpp, gamlss.dist

colourpicker, dplyr, egg, ggplot2, ggstance, markdown, shiny,
shinyjs, stats, tidyr, table1, data.table, utils
clipr, formatR, MASS, knitr, rmarkdown, mrgsolve, ggridges,
ggrepel, patchwork, bayestestR, plotly, scales, shinyAce, Rcpp,
gamlss.dist

colourpicker, dplyr, egg, grid, ggplot2 (>= 3.3.2), markdown,
shiny, shinyjs, shinymeta, stats, tidyr, table1, utils
clipr, formatR, MASS, knitr, rmarkdown, mrgsolve, ggridges,
ggrepel, ggstance, patchwork, plotly, scales, shinyAce, Rcpp,
gamlss.dist

colourpicker, egg, grid, ggplot2 (>= 3.3.2), shiny, stats,
utils
markdown, dplyr, tidyr, shinyjs, shinymeta, table1, clipr,
formatR, MASS, knitr, rmarkdown, mrgsolve, GGally, ggridges,
ggrepel, ggstance, patchwork, plotly, scales, shinyAce, Rcpp,
gamlss.dist, ggh4x, ggpmisc, quantreg