Create a flip over style Flash Card with desired data frame for Shiny application.

Fast implementation of hierarchical clustering

Methods for matrix factorization based on Wang and Stephens (2021) 
    <https://jmlr.org/papers/v22/20-589.html>.

Shed light on black box machine learning models by the help
    of model performance, variable importance, global surrogate models,
    ICE profiles, partial dependence (Friedman J. H. (2001)
    <doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W.
    (2016) <doi:10.48550/arXiv.1612.08468>), further effects plots,
    interaction strength, and variable contribution breakdown (Gosiewska
    and Biecek (2019) <doi:10.48550/arXiv.1903.11420>).  All tools are
    implemented to work with case weights and allow for stratified
    analysis.  Furthermore, multiple flashlights can be combined and
    analyzed together.

A fast and scalable linear mixed-effects model (LMM) estimation algorithm 
    for analysis of single-cell differential expression. The algorithm uses 
    summary-level statistics and requires less computer memory to fit the LMM.

Provides functions for creating flashcard decks of terms and 
    definitions. This package creates HTML slides using 'revealjs' that can be 
    viewed in the 'RStudio' viewer or a web browser.  Users can create 
    flashcards from either existing built-in decks or create their own from CSV
    files or vectors of function names.

Provides a suite of methods for detecting influential 
    subjects in longitudinal datasets, particularly when observations 
    occur at irregular time points. The methods identify individuals 
    whose response trajectories deviate significantly from the population 
    pattern, enabling detection of anomalies or subjects exerting undue 
    influence on model outcomes.

Contingency Tables are a pain to work with when you want to run regressions.
  This package takes them, flattens them into a long data frame, so you can more easily analyse them!
  As well, you can calculate other related statistics. All of this is done so in a 'tidy' manner,
  so it should tie in nicely with 'tidyverse' series of packages.