c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")),
    person("Maximilian", "Girlich", role = "aut"),
    person("RStudio", role = "cph")
  )
Tools to help to create tidy data, where each column is a
    variable, each row is an observation, and each cell contains a single
    value.  'tidyr' contains tools for changing the shape (pivoting) and
    hierarchy (nesting and 'unnesting') of a dataset, turning deeply
    nested lists into rectangular data frames ('rectangling'), and
    extracting values out of string columns. It also includes tools for
    working with missing values (both implicit and explicit).
dplyr (>= 1.0.0), ellipsis (>= 0.1.0), glue, lifecycle,
magrittr, purrr, rlang, tibble (>= 2.1.1), tidyselect (>=
1.1.0), utils, vctrs (>= 0.3.7)
covr, data.table, jsonlite, knitr, readr, repurrrsive (>=
1.0.0), rmarkdown, testthat (>= 3.0.0)
Hadley Wickham [aut, cre],
  Maximilian Girlich [aut],
  RStudio [cph]