c(person(given = "Hadley",
             family = "Wickham",
             role = c("aut", "cre"),
             email = "hadley@rstudio.com"),
      person(given = "Lionel",
             family = "Henry",
             role = "aut",
             email = "lionel@rstudio.com"),
      person(given = "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 (>= 0.8.2), ellipsis (>= 0.1.0), glue, magrittr, purrr,
rlang, tibble (>= 2.1.1), tidyselect (>= 1.1.0), utils, vctrs
(>= 0.3.0), lifecycle
covr, jsonlite, knitr, repurrrsive (>= 1.0.0), rmarkdown,
readr, testthat (>= 2.1.0)
Hadley Wickham [aut, cre],
  Lionel Henry [aut],
  RStudio [cph]