c(
    person("Kirill", "M?ller", , "krlmlr+r@mailbox.org", c("aut", "cre")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
    person("Romain", "Francois", , "romain@r-enthusiasts.com", "ctb"),
    person("Jennifer", "Bryan", , "jenny@rstudio.com", "ctb"),
    person("RStudio", role = "cph")
    )

Provides a 'tbl_df' class (the 'tibble') that provides
    stricter checking and better formatting than the traditional data frame.

'add.R' 'as_tibble.R' 'check-names.R' 'compat-lazyeval.R'
'compat-lifecycle.R' 'compat-name-repair.R' 'compat-purrr.R'
'tribble.R' 'deprecated.R' 'enframe.R' 'exports.R' 'glimpse.R'
'has-name.R' 'lst.R' 'msg-format.R' 'msg.R' 'new.R'
'repair-names.R' 'rownames.R' 'strrep.R' 'subsetting.R'
'tbl-df.r' 'tibble-package.R' 'tibble.R' 'type-sum.r'
'utils-format.r' 'utils.r' 'view.R' 'wrap.R' 'zzz.R'

Kirill M?ller [aut, cre],
  Hadley Wickham [aut],
  Romain Francois [ctb],
  Jennifer Bryan [ctb],
  RStudio [cph]

c(
  person("Max", "Gordon", email = "max@gforge.se",
         role = c("aut", "cre")),
  person("Stephen", "Gragg", role=c("aut")),
  person("Peter", "Konings", role=c("aut")))

Tables with state-of-the-art layout elements such as row spanners,
    column spanners, table spanners, zebra striping, and more. While allowing
    advanced layout, the underlying css-structure is simple in order to maximize
    compatibility with word processors such as 'MS Word' or 'LibreOffice'. The package
    also contains a few text formatting functions that help outputting text
    compatible with HTML/LaTeX.

stringr, knitr (>= 1.6), magrittr (>= 1.5), methods,
checkmate, htmlwidgets, htmltools, rstudioapi (>= 0.6)

testthat, XML, xtable, ztable, Hmisc, reshape, rmarkdown,
pander, chron, lubridate, tibble, tidyr (>= 0.7.2), dplyr (>=
0.7.4)

Max Gordon [aut, cre],
  Stephen Gragg [aut],
  Peter Konings [aut]

Infrastructure for manipulating intervals on sequences

Provides efficient low-level and highly reusable S4
	classes for storing, manipulating and aggregating over annotated
	ranges of integers. Implements an algebra of range operations,
	including efficient algorithms for finding overlaps and nearest
	neighbors. Defines efficient list-like classes for storing,
	transforming and aggregating large grouped data, i.e., collections
	of atomic vectors and DataFrames.