Testing and documenting code that communicates with remote
  databases can be painful. Although the interaction with R is usually relatively 
  simple (e.g. data(frames) passed to and from a database), because they rely on 
  a separate service and the data there, testing them can be difficult to set up,
  unsustainable in a continuous integration environment, or impossible without 
  replicating an entire production cluster. This package addresses that by 
  allowing you to make recordings from your database interactions and then play 
  them back while testing (or in other contexts) all without needing to spin up 
  or have access to the database your code would typically connect to.

A comprehensive visualization toolkit built with coders of all
    skill levels and color-vision impaired audiences in mind. It allows creation
    of finely-tuned, publication-quality figures from single function calls.
    Visualizations include scatter plots, compositional bar plots, violin, box,
    and ridge plots, and more. Customization ranges from size and title
    adjustments to discrete-group circling and labeling, hidden data overlay
    upon cursor hovering via ggplotly() conversion, and many more, all with
    simple, discrete inputs. Color blindness friendliness is powered by legend
    adjustments (enlarged keys), and by allowing the use of shapes or
    letter-overlay in addition to the carefully selected dittoColors().

Facilitate the analysis of teams in a corporate setting:
    assess the diversity per grade and job, present the results,
    search for bias (in hiring and/or promoting processes).
    It also provides methods to simulate the effect of bias, random team-data, etc.
    White paper: 'Philippe J.S. De Brouwer' (2021) <http://www.de-brouwer.com/assets/div/div-white-paper.pdf>.
    Book (chapter 36): 'Philippe J.S. De Brouwer' (2020, ISBN:978-1-119-63272-6) and 'Philippe J.S. De Brouwer' (2020) <doi:10.1002/9781119632757>.

Functions to describe sampling and diversity dynamics of fossil occurrence datasets (e.g. from the Paleobiology Database). The package includes methods to calculate range- and occurrence-based metrics of taxonomic richness, extinction and origination rates, along with traditional sampling measures. A powerful subsampling tool is also included that implements frequently used sampling standardization methods in a multiple bin-framework. The plotting of time series and the occurrence data can be simplified by the functions incorporated in the package, as well as other calculations, such as environmental affinities and extinction selectivity testing. Details can be found in: Kocsis, A.T.; Reddin, C.J.; Alroy, J. and Kiessling, W. (2019) <doi:10.1101/423780>.