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

A fast and computationally efficient algorithm designed to enable researchers to efficiently and quickly extract semantically-related keywords using a fitted embedding model. For more details about the methods applied, see Chester (2025). <doi:10.17605/OSF.IO/5B7RQ>.

Helps make implicit data assumptions explicit by attaching
    keys to flat-file data that error when those assumptions are violated.
    Designed for CSV-first workflows without database infrastructure or version
    control. Provides key definition, assumption checks, join diagnostics, and
    optional drift detection against reference snapshots.

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.