A fast, consistent tool for working with data frame
    like objects, both in memory and out of memory.

ellipsis, generics, glue (>= 1.3.2), lifecycle (>= 0.2.0),
magrittr (>= 1.5), methods, R6, rlang (>= 0.4.6), tibble (>=
2.1.3), tidyselect (>= 1.1.0), utils, vctrs (>= 0.3.0)

bench, broom, callr, covr, DBI, dbplyr (>= 1.4.3), knitr,
Lahman, lobstr, microbenchmark, nycflights13, purrr, rmarkdown,
RMySQL, RPostgreSQL, RSQLite, testthat (>= 2.1.0), withr

Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>),
  Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>),
  Lionel Henry [aut],
  Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>),
  RStudio [cph, fnd]

Original S code by Richard A. Becker and Allan R. Wilks.
	R version by Ray Brownrigg.
        Enhancements by Thomas P Minka and Alex Deckmyn.

Display of maps.  Projection code and larger maps are in
             separate packages ('mapproj' and 'mapdata').

mapproj (>= 1.2-0), mapdata (>= 2.3.0), sp, maptools,
rnaturalearth

Helper Functions to Install and Maintain TeX Live, and Compile
LaTeX Documents

c(
  person("Yihui", "Xie", role = c("aut", "cre", "cph"), email = "xie@yihui.name", comment = c(ORCID = "0000-0003-0645-5666")),
  person(family = "RStudio, PBC", role = "cph"),
  person("Fernando", "Cagua", role = "ctb"),
  person("Ethan", "Heinzen", role = "ctb"),
  person()
  )

Helper functions to install and maintain the 'LaTeX' distribution
  named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform,
  portable, and easy-to-maintain version of 'TeX Live'. This package also
  contains helper functions to compile 'LaTeX' documents, and install missing
  'LaTeX' packages automatically.

Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>),
  RStudio, PBC [cph],
  Fernando Cagua [ctb],
  Ethan Heinzen [ctb]

Package providing a fast match() replacement for cases
	that require repeated look-ups. It is slightly faster that R's
	built-in match() function on first match against a table, but
	extremely fast on any subsequent lookup as it keeps the hash
	table in memory.