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.

Gregory Jefferis [aut, cre] (<https://orcid.org/0000-0002-0587-9355>),
  Samuel E. Kemp [aut],
  Kirill Müller [ctb] (<https://orcid.org/0000-0002-1416-3412>),
  Sunil Arya [aut, cph] (<https://orcid.org/0000-0003-0939-4192>),
  David Mount [aut, cph] (<https://orcid.org/0000-0002-3290-8932>),
  University of Maryland [cph] (ANN library is copyright University of
    Maryland and Sunil Arya and David Mount. See file COPYRIGHT for
    details)

Network Visualization using 'vis.js' Library

c(
    person(family = "Almende B.V. and Contributors", role = c("aut", "cph"),
       comment = "vis.js library in htmlwidgets/lib, https://visjs.org/, https://github.com/visjs/vis-network"),
    person("Benoit", "Thieurmel", role = c("aut", "cre"),
       comment = "R interface", email = "bthieurmel@gmail.com")
    )

Provides an R interface to the 'vis.js' JavaScript charting
    library. It allows an interactive visualization of networks.

htmlwidgets, htmltools, jsonlite, magrittr, utils, methods,
grDevices, stats

knitr, rmarkdown, webshot, igraph, rpart, shiny,
shinyWidgets, colourpicker, sparkline, ggraph, tidygraph,
flashClust

Almende B.V. and Contributors [aut, cph] (vis.js library in
    htmlwidgets/lib, https://visjs.org/,
    https://github.com/visjs/vis-network),
  Benoit Thieurmel [aut, cre] (R interface)

Package providing a fast match() replacement for cases
	that require repeated look-ups. It is slightly faster that R's
	built-in match() function on first match against a table, but
	extremely fast on any subsequent lookup as it keeps the hash
	table in memory.

Streamlined Plot Theme and Plot Annotations for 'ggplot2'