Deepayan Sarkar [aut, cre] (<https://orcid.org/0000-0003-4107-1553>),
  Felix Andrews [ctb],
  Kevin Wright [ctb] (documentation),
  Neil Klepeis [ctb],
  Paul Murrell [ctb]

c(person(given = "Lionel",
             family = "Henry",
             role = c("aut", "cre"),
             email = "lionel@rstudio.com"),
      person(given = "Hadley",
             family = "Wickham",
             role = "aut",
             email = "hadley@rstudio.com"),
      person(given = "RStudio",
             role = c("cph", "fnd")))

A complete and consistent functional programming
    toolkit for R.

covr, crayon, dplyr (>= 0.7.8), knitr, rmarkdown, testthat,
tibble, tidyselect

Lionel Henry [aut, cre],
  Hadley Wickham [aut],
  RStudio [cph, fnd]

Provides a range of axis labeling algorithms

c(
    person("Ramnath", "Vaidyanathan", role = c("aut", "cph")),
    person("Yihui", "Xie", role = c("aut")),
    person("JJ", "Allaire", role = c("aut")),
    person("Joe", "Cheng", role = c("aut", "cre"), email = "joe@rstudio.com"),
    person("Kenton", "Russell", role = c("aut", "cph")),
    person(family = "RStudio", role = "cph")
    )

A framework for creating HTML widgets that render in various
    contexts including the R console, 'R Markdown' documents, and 'Shiny'
    web applications.

grDevices, htmltools (>= 0.3), jsonlite (>= 0.9.16), yaml

Ramnath Vaidyanathan [aut, cph],
  Yihui Xie [aut],
  JJ Allaire [aut],
  Joe Cheng [aut, cre],
  Kenton Russell [aut, cph],
  RStudio [cph]

A backend for the selecting functions of the 'tidyverse'.
    It makes it easy to implement select-like functions in your own
    packages in a way that is consistent with other 'tidyverse'
    interfaces for selection.

covr, crayon, dplyr, knitr, magrittr, rmarkdown, testthat (>=
2.3.0), tibble (>= 2.1.3), withr

Tools for Splitting, Applying and Combining Data

person(given = "Hadley",
           family = "Wickham",
           role = c("aut", "cre"),
           email = "hadley@rstudio.com")

A set of tools that solves a common set of
    problems: you need to break a big problem down into manageable pieces,
    operate on each piece and then put all the pieces back together.  For
    example, you might want to fit a model to each spatial location or
    time point in your study, summarise data by panels or collapse
    high-dimensional arrays to simpler summary statistics. The development
    of 'plyr' has been generously supported by 'Becton Dickinson'.