shiny (>= 0.13), miniUI, rstudioapi, highr, classInt,
htmltools, graphics, stats, utils, labelled (>= 1.0.0)

shiny (>= 0.13), DT, miniUI, rstudioapi, highr, classInt,
htmltools, graphics, stats, utils, labelled (>= 1.0.0)
memisc, testthat, roxygen2, R2HTML, dplyr, forcats, knitr

shiny (>= 1.0.5), miniUI, rstudioapi, highr, classInt,
htmltools, graphics, stats, utils, labelled (>= 1.0.0)
memisc, testthat, roxygen2, dplyr, tidyr, janitor, forcats,
knitr

shiny (>= 1.0.5), miniUI, rstudioapi, highr, classInt,
htmltools, graphics, stats, utils, labelled (>= 2.0.0)

shiny (>= 1.0.5), miniUI, rstudioapi, highr, styler, classInt,
htmltools, graphics, stats, utils, labelled (>= 2.4.0), haven
(>= 2.3.0)
testthat, roxygen2, dplyr, tidyr, janitor, forcats, knitr

c(person("Julien", "Barnier", email="julien.barnier@cnrs.fr",
role=c("aut","cre")), person("François", "Briatte",
email="f.briatte@gmail.com", role="aut"), person("Joseph", "Larmarange",
email="joseph@larmarange.net", role="aut"))
shiny (>= 1.0.5), miniUI, rstudioapi, highr, styler, classInt,
htmltools, graphics, stats, utils, labelled (>= 2.6.0)
testthat, roxygen2, dplyr, tidyr, janitor, forcats, knitr,
rmarkdown

testthat, roxygen2, dplyr, ggplot2, tidyr, janitor, forcats,
knitr, rmarkdown, survey, Hmisc

person("Anthony", "Ebert", email = "anthonyebert+CRAN@gmail.com",
role = c("aut", "cre"))
Implementation of a computationally efficient method for
simulating queues with arbitrary arrival and service times.
knitr, rmarkdown, testthat, reshape2, ggplot2

c(person("Anthony", "Ebert", email = "anthonyebert+CRAN@gmail.com",
role = c("aut", "cre"), comment=c(ORCID="0000-0003-3002-6300")),
person("Kerrie", "Mengersen", role = "ths"),
person("Paul", "Wu", role = "ths"),
person("Fabrizio", "Ruggeri", role = "ths"))
Anthony Ebert [aut, cre] (<https://orcid.org/0000-0003-3002-6300>),
Kerrie Mengersen [ths],
Paul Wu [ths],
Fabrizio Ruggeri [ths]

Implementation of a computationally efficient method for
simulating queues with arbitrary arrival and service times.
Please see Ebert, Wu, Mengersen & Ruggeri (2020, <doi:10.18637/jss.v095.i05>)
for further details.