'RcppExports.R' 'httpuv.R' 'server.R' 'static_paths.R'
'utils.R'

Translate Spreadsheet Cell Ranges to Rows and Columns

c(
    person("Jennifer", "Bryan", , "jenny@stat.ubc.ca", c("cre", "aut")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", "ctb")
  )

Helper functions to work with spreadsheets and the "A1:D10" style
    of cell range specification.

covr, testthat (>= 1.0.0), knitr, rmarkdown

Jennifer Bryan [cre, aut],
  Hadley Wickham [ctb]

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]

Fast Nearest Neighbour Search (Wraps ANN Library) Using L2
Metric

Sunil Arya and David Mount (for ANN), Samuel E. Kemp, Gregory Jefferis

ANN library is copyright University of Maryland and Sunil
Arya and David Mount. See file COPYRIGHT for details.

Finds the k nearest neighbours for every point in a given dataset
    in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is
    support for approximate as well as exact searches, fixed radius searches
    and 'bd' as well as 'kd' trees. The distance is computed using the L2
    (Euclidean) metric. Please see package 'RANN.L1' for the same
    functionality using the L1 (Manhattan, taxicab) metric.