Read and Write Rectangular Text Data Quickly
c(person(given = "Jim",
             family = "Hester",
             role = "aut",
             email = "jim.hester@rstudio.com",
             comment = c(ORCID = "0000-0002-2739-7082")),
      person(given = "Hadley",
             family = "Wickham",
             role = "aut",
             email = "hadley@rstudio.com",
             comment = c(ORCID = "0000-0003-4757-117X")),
      person(given = "Jennifer",
             family = "Bryan",
             role = c("aut", "cre"),
             email = "jenny@rstudio.com",
             comment = c(ORCID = "0000-0002-6983-2759")),
      person(given = "https://github.com/mandreyel/",
             role = "cph",
             comment = "mio library"),
      person(given = "Jukka",
             family = "Jylänki",
             role = "cph",
             comment = "grisu3 implementation"),
      person(given = "Mikkel",
             family = "Jørgensen",
             role = "cph",
             comment = "grisu3 implementation"),
      person(given = "RStudio",
             role = c("cph", "fnd")))
The goal of 'vroom' is to read and write data (like
    'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial
    indexing step, then reads the values lazily , so only the data you
    actually use needs to be read.  The writer formats the data in
    parallel and writes to disk asynchronously from formatting.
bit64, crayon, cli, glue, hms, lifecycle, methods, rlang (>=
0.4.2), stats, tibble (>= 2.0.0), tzdb (>= 0.1.1), vctrs (>=
0.2.0), tidyselect, withr
archive, bench (>= 1.1.0), covr, curl, dplyr, forcats, fs,
ggplot2, knitr, patchwork, prettyunits, purrr, rmarkdown,
rstudioapi, scales, spelling, testthat (>= 2.1.0), tidyr,
utils, waldo, xml2
Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>),
  Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>),
  Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>),
  https://github.com/mandreyel/ [cph] (mio library),
  Jukka Jylänki [cph] (grisu3 implementation),
  Mikkel Jørgensen [cph] (grisu3 implementation),
  RStudio [cph, fnd]