The backtest package provides facilities for exploring
        portfolio-based conjectures about financial instruments
        (stocks, bonds, swaps, options, et cetera).

A novel data-augmentation Markov chain Monte Carlo sampling algorithm to fit a progressive compartmental model of disease in a Bayesian framework 
             Morsomme, R.N., Holloway, S.T., Ryser, M.D. and Xu J. (2024) <doi:10.48550/arXiv.2408.14625>.

Decomposition for differences-in-differences with variation in
    treatment timing from Goodman-Bacon (2018) <doi:10.3386/w25018>.

The Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012)
 can be used to estimate the causal effect of a continuous exposure on a continuous outcome.
 This package provides an approximate sensitivity analysis of BAC with regards to the
 hyperparameter omega. BACprior also provides functions to guide the user in their choice
 of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).

Estimating the average causal effect based on the Bayesian Adjustment for Confounding (BAC) algorithm.

Bindings to 'badgen' <https://www.npmjs.com/package/badgen> to
    generate beautiful 'svg' badges in R without internet access. Images can
    be converted to 'png' using the 'rsvg' package as shown in examples.

Query information and generate badge for using in README and GitHub Pages.

Download and read US Census Bureau data relationship files. Provides 
    support for cleaning and using block assignment files since 2010, as described in 
    <https://www.census.gov/geographies/reference-files/time-series/geo/block-assignment-files.html>. 
    Also includes support for working with block equivalency files, used for years 
    outside of decennial census years.

Waffle plots are rectangular pie charts that represent a quantity or abundances using
    colored squares or other symbol. This makes them better at transmitting information as the
    discrete number of squares is easier to read than the circular area of pie charts.
    While the original waffle charts were rectangular with 10 rows and columns, with a single square
    representing 1%, they are nowadays popular in various infographics to visualize any
    proportional ratios.