R Special Interest Group on Databases (R-SIG-DB) [aut],
  Hadley Wickham [aut],
  Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>),
  R Consortium [fnd]

c(person(given = "Erich", family = "Neuwirth", role = c("aut",
        "cre"), email = "erich.neuwirth@univie.ac.at"))

Provides color schemes for maps (and other graphics)
        designed by Cynthia Brewer as described at http://colorbrewer2.org.

c(person("Tony", "Plate", email = "tplate@acm.org", role = c("aut", "cre")), person("Richard", "Heiberger", role = c("aut")))

Combine multidimensional arrays into a single array.
  This is a generalization of 'cbind' and 'rbind'.  Works with
  vectors, matrices, and higher-dimensional arrays (aka tensors).
  Also provides functions 'adrop', 'asub', and 'afill' for
  manipulating, extracting and replacing data in arrays.

Tony Plate [aut, cre],
  Richard Heiberger [aut]

This package uses the source code of zlib-1.2.5 to create
  libraries for systems that do not have these available via other
  means (most Linux and Mac users should have system-level access to
  zlib, and no direct need for this package). See the vignette for
  instructions on use.

c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-4757-117X")),
    person("Lionel", "Henry", , "lionel@rstudio.com", role = "aut"),
    person("RStudio", role = c("cph", "fnd"))
  )

A complete and consistent functional programming toolkit for
    R.

covr, dplyr (>= 0.7.8), httr, knitr, lubridate, rmarkdown,
testthat (>= 3.0.0), tibble, tidyselect

Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>),
  Lionel Henry [aut],
  RStudio [cph, fnd]

Functions for simple fixed and random effects
        meta-analysis for two-sample comparisons and cumulative
        meta-analyses. Draws standard summary plots, funnel plots, and
        computes summaries and tests for association and heterogeneity.

Implements the BumpyMatrix class and several subclasses
    for holding non-scalar objects in each entry of the matrix. This is akin to
    a ragged array but the raggedness is in the third dimension, much like
    a bumpy surface - hence the name. Of particular interest is the
    BumpyDataFrameMatrix, where each entry is a Bioconductor data frame.
    This allows us to naturally represent multivariate data in a format
    that is compatible with two-dimensional containers like the
    SummarizedExperiment and MultiAssayExperiment objects.