Bootstrap Functions (Originally by Angelo Canty for S)

Angelo Canty [aut],
  Brian Ripley [aut, trl, cre] (author of parallel support)

c(person(given = "Hadley",
             family = "Wickham",
             role = c("aut", "cre"),
             email = "hadley@rstudio.com"),
      person(given = "Thomas Lin",
             family = "Pedersen",
             role = "aut",
             email = "thomas.pedersen@rstudio.com"),
      person(given = "RStudio",
             role = "cph"))

Tools to make it easier to work with "tables" of
    'grobs'. The 'gtable' package defines a 'gtable' grob class that specifies a
    grid along with a list of grobs and their placement in the grid. Further the
    package makes it easy to manipulate and combine 'gtable' objects so that 
    complex compositions can be build up sequentially.

covr, testthat, knitr, rmarkdown, ggplot2, profvis

'new-data-frame.r' 'add-grob.r' 'add-rows-cols.r'
'add-space.r' 'grid.r' 'gtable-layouts.r' 'gtable-package.R'
'gtable.r' 'rbind-cbind.r' 'utils.r' 'trim.r' 'filter.r'
'align.r' 'padding.r' 'z.r'

Hadley Wickham [aut, cre],
  Thomas Lin Pedersen [aut],
  RStudio [cph]

Sets, Generalized Sets, Customizable Sets and Intervals

Data structures and basic operations for ordinary sets,
             generalizations such as fuzzy sets, multisets, and
             fuzzy multisets, customizable sets, and intervals.

c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
             person(given = "Kurt", family = "Hornik", role = c("aut")),
             person(given = "Christian", family = "Buchta", role = "ctb"))

David Meyer [aut, cre],
  Kurt Hornik [aut],
  Christian Buchta [ctb]

Flexibly Reshape Data: A Reboot of the Reshape Package

Flexibly restructure and aggregate data using just two
    functions: melt and 'dcast' (or 'acast').

Encapsulated Classes with Reference Semantics

person("Winston", "Chang", role = c("aut", "cre"), email = "winston@stdout.org")

Creates classes with reference semantics, similar to R's built-in
    reference classes. Compared to reference classes, R6 classes are simpler
    and lighter-weight, and they are not built on S4 classes so they do not
    require the methods package. These classes allow public and private
    members, and they support inheritance, even when the classes are defined in
    different packages.