Provides functions for creating, modifying, and displaying bitmaps including printing them in the terminal.   There is a special emphasis on monochrome bitmap fonts and their glyphs as well as colored pixel art/sprites.  Provides native read/write support for the 'hex' and 'yaff' bitmap font formats and if 'monobit' <https://github.com/robhagemans/monobit> is installed can also read/write several additional bitmap font formats.

Provides tools for fitting bivariate hurdle negative binomial 
    models with horseshoe priors, Bayesian Model Averaging (BMA) via stacking, 
    and comprehensive causal inference methods including G-computation, 
    transfer entropy, Threshold Vector Autoregressive (TVAR) and Smooth 
    Transition Autoregressive (STAR) models, Dynamic Bayesian Networks (DBN), 
    Hidden Markov Models (HMM), and sensitivity analysis.

Simplify bivariate and regression analyses by automating
    result generation, including summary tables, statistical tests, and
    customizable graphs. It supports tests for continuous and dichotomous
    data, as well as stepwise regression for linear, logistic, and Firth
    penalized logistic models.  While not a substitute for tailored
    analysis, 'BiVariAn' accelerates workflows and is expanding features
    like multilingual interpretations of results.The methods for selecting
    significant statistical tests, as well as the predictor selection in
    prediction functions, can be referenced in the works of Marc Kery
    (2003) <doi:10.1890/0012-9623(2003)84[92:NORDIG]2.0.CO;2> and Rainer
    Puhr (2017) <doi:10.1002/sim.7273>.

Creates bivariate choropleth maps using 'Leaflet'. This package provides
    tools for visualizing the relationship between two variables through a color
    matrix representation on an interactive map.

Contains functions mainly focused to plotting bivariate maps.

Perform competing risks analysis under bivariate Pareto models. See Shih et al. (2019) <doi:10.1080/03610926.2018.1425450> for details.