A suite of easy to use functions for collecting social media
    data and generating networks for analysis. Supports Mastodon, YouTube,
    Reddit and Web 1.0 data sources.

Generating realizations of a fractal Brownian function on uniform 1D & 2D grid with classic and generic versions of the Voss algorithm (random sequential additions).

Counting election votes and determining election results by different methods, including
    the single transferable vote or ranked choice, approval, score, plurality, condorcet and two-round 
    runoff methods (Raftery et al., 2021 <doi:10.32614/RJ-2021-086>).

'ProPublica' <https://projects.propublica.org/represent/> makes United States
    Congress member votes available and has developed their own unique cartogram to visually
    represent this data. Tools are provided to retrieve voting data, prepare voting data 
    for plotting with 'ggplot2', create vote cartograms and theme them.

An R interface to the Project 'VoteSmart'<https://justfacts.votesmart.org/> API.

Various methods to count ballots in voting systems are provided.
	Functions to check validity of ballots are also provided to ensure flexibility.

Calculates voter transitions comparing two elections, using the function solve.QP() in package 'quadprog'.

A R interface to the 'vouch' project
    (<https://github.com/mitchellh/vouch>), which bills itself as "a
    community trust management system based on explicit vouches to
    participate". 'vouch' is a 'Nushell' module, so 'voucher' provides a R
    application programming interface (API) to modify the 'VOUCHED.td'
    database without 'Nushell'. 'voucher' does not depend on 'vouch' or
    'Nushell'.

A wrapper around a CSS library called 'vov.css', intended for use 
  in 'shiny' applications. Simply wrap a UI element in one of the animation 
  functions to see it move.

Procedures for the manipulation, normalization, and plotting of phonetic and sociophonetic vowel formant data.  vowels is the backend for the NORM website.

Vital Operational Waiting Risk (VOWR) provides tools for
    analysing monthly Referral-to-Treatment (RTT) panel data in healthcare
    systems. The package supports provider-level profiling, operational risk
    classification, waiting-time volatility assessment, Kaplan-Meier survival
    analysis, Cox proportional hazards modelling, and visualisation of
    time-to-threshold breach patterns. It is designed to help analysts and
    decision-makers identify providers with high waiting times, unstable
    performance, and increased risk of earlier threshold breach. The survival
    modelling methods follow Cox (1972)
    <doi:10.1111/j.2517-6161.1972.tb00899.x> and Kaplan and Meier (1958)
    <doi:10.1080/01621459.1958.10501452>.