Control your keyboard and mouse with R code by simulating key presses and mouse clicks. The input simulation is implemented with the Windows API.

Tools for keeping track of information, named
    "keys", about rows of data frame like objects. This is done by
    creating special attribute "keys" which is updated after every change
    in rows (subsetting, ordering, etc.).  This package is designed to
    work tightly with 'dplyr' package.

Efficient implementation of permutation tests for keyword analysis in corpus linguistics as described in Mildenberger (2023) <arXiv:2308.13383>.

Computes group centrality scores and identifies the most central group of players in a network.

Wait for a single key press at the 'R' prompt.
    This works in terminals, but does not currently work
    in the 'Windows' 'GUI', the 'OS X' 'GUI' ('R.app'),
    in 'Emacs' 'ESS', in an 'Emacs' shell buffer or in
    'R Studio'. In these cases 'keypress' stops with an
    error message.

Platform independent 'API' to access the operating system's
    credential store. Currently supports: 'Keychain' on 'macOS',
    Credential Store on 'Windows', the Secret Service 'API' on 'Linux',
    and simple, platform independent stores implemented with environment
    variables or encrypted files.  Additional storage back-ends can be
    added easily.

Decrypts passwords stored in the Gnome Keyring, macOS Keychain and
    strings encrypted with the Windows Data Protection API.

Assign and listen to keyboard shortcuts in 'shiny' using the 
  'Mousetrap' Javascript library.

Convert keys and other values to memorable phrases. 
  Includes some methods to build lists of words.

Provides functions to identify plausible and replicable factor
  structures for a set of variables via k-fold cross validation. The process
  combines the exploratory and confirmatory factor analytic approach to scale
  development (Flora & Flake, 2017) <doi:10.1037/cbs0000069> with a cross validation
  technique that maximizes the available data (Hastie, Tibshirani, & Friedman, 2009)
  <isbn:978-0-387-21606-5>. Also available are functions to determine k by drawing 
  on power analytic techniques for covariance structures (MacCallum, Browne, &
  Sugawara, 1996) <doi:10.1037/1082-989X.1.2.130>, generate model syntax, and
  summarize results in a report.