Creates 'PRISMA' <http://prisma-statement.org/> diagram from a minimal dataset of included and excluded studies and allows for more custom diagrams. 'PRISMA' diagrams are used to track the identification, screening, eligibility, and inclusion of studies in a systematic review.

Manipulate and visualize colors in a intuitive,
    low-dependency and functional way.

Implements Penalized Regression with Inferred Seasonality Module (PRISM) to generate forecast estimation of weekly unemployment initial claims using 'Google Trends' data. It includes required data and tools for backtesting the performance in 2007-2020.

Prism <https://prismjs.com/> is a lightweight, extensible syntax 
    highlighter, built with modern web standards in mind. This package provides 
    server-side rendering in R using 'V8' such that no JavaScript library is
    required in the resulting HTML documents. Over 400 languages are supported.

Enables user to perform the following:
    1. Roll 'n' number of die/dice (roll()).
    2. Toss 'n' number of coin(s) (toss()).
    3. Play the game of Rock, Paper, Scissors.
    4. Choose 'n' number of card(s) from a pack of 52 playing cards (Joker optional).

Tools for anonymizing sensitive patient and research data. Helps
    protect privacy while keeping data useful for analysis. Anonymizes IDs,
    names, dates, locations, and ages while maintaining referential integrity.
    Methods based on: Sweeney (2002) <doi:10.1142/S0218488502001648>,
    Dwork et al. (2006) <doi:10.1007/11681878_14>,
    El Emam et al. (2011) <doi:10.1371/journal.pone.0028071>,
    Fung et al. (2010) <doi:10.1145/1749603.1749605>.

Implements two differentially private algorithms for 
  estimating L2-regularized logistic regression coefficients. A randomized
  algorithm F is epsilon-differentially private (C. Dwork, Differential
  Privacy, ICALP 2006 <DOI:10.1007/11681878_14>), if 
     |log(P(F(D) in S)) - log(P(F(D') in S))| <= epsilon
  for any pair D, D' of datasets that differ in exactly one record, any
  measurable set S, and the randomness is taken over the choices F makes.