Analysis of DNA copy number in single cells using 
    custom genome-wide targeted DNA sequencing panels for the Mission Bio 
    Tapestri platform. Users can easily parse, manipulate, and visualize 
    datasets produced from the automated 'Tapestri Pipeline', with support for 
    normalization, clustering, and copy number calling. Functions are also 
    available to deconvolute multiplexed samples by genotype and parsing 
    barcoded reads from exogenous lentiviral constructs.

Convert latex math expressions to HTML and 'MathML' for use in 
    markdown documents or package manual pages. The rendering is done in 
    R using the V8 engine (i.e. server-side), which eliminates the need 
    for embedding the 'MathJax' library into your web pages. In addition
    a 'math-to-rd' wrapper is provided to automatically render beautiful
    math in R documentation files.

Provides data for Kaya identity variables (population, gross 
             domestic product, primary energy consumption, and energy-related 
             CO2 emissions) for the world and for individual nations, and 
             utility functions for looking up data,  plotting trends of 
             Kaya variables, and plotting the fuel mix for a given country
             or region. The Kaya identity (Yoichi Kaya and Keiichi Yokobori, 
             "Environment, Energy, and Economy: Strategies for Sustainability" 
             (United Nations University Press, 1998) and 
             <https://en.wikipedia.org/wiki/Kaya_identity>) expresses a nation's 
             or region's greenhouse gas emissions in terms of its population, 
             per-capita Gross Domestic Product, the energy intensity of its 
             economy, and the carbon-intensity of its energy supply.

Many data science problems reduce to operations on very tall,
    skinny matrices.  However, sometimes these matrices can be so tall that they
    are difficult to work with, or do not even fit into main memory.  One
    strategy to deal with such objects is to distribute their rows across
    several processors.  To this end, we offer an 'S4' class for tall, skinny,
    distributed matrices, called the 'shaq'.  We also provide many useful
    numerical methods and statistics operations for operating on these
    distributed objects.  The naming is a bit "tongue-in-cheek", with the class
    a play on the fact that 'Shaquille' 'ONeal' ('Shaq') is very tall, and he
    starred in the film 'Kazaam'.