Provides a lightweight data validation and testing toolkit for R. 
    Its guiding philosophy is that adding code-based data checks to users' 
    existing workflow should be both quick and intuitive. The suite of 
    functions included therefore mirror the common data checks many users 
    already perform by hand or by eye. Additionally, the 'checkthat' package is 
    optimized to work within 'tidyverse' data manipulation pipelines.

Provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. Allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.

Given a non-linear model, calculate the local explanation. 
    We purpose view the data space, explanation 
    space, and model residuals as ensemble graphic interactive on a shiny 
    application. After an observation of interest is identified, the normalized 
    variable importance of the local explanation is used as a 1D projection
    basis. The support of the local explanation is then explored by changing
    the basis with the use of the radial tour <doi:10.32614/RJ-2020-027>; 
    <doi:10.1080/10618600.1997.10474754>.

Contains tools for working with data during statistical analysis, promoting flexible, intuitive, and reproducible workflows. There are functions designated for specific statistical tasks such building a custom univariate descriptive table, computing pairwise association statistics, etc. These are built on a collection of data manipulation tools designed for general use that are motivated by the functional programming concept.

An R interface to 'Cheetah Grid', a high-performance JavaScript table widget. 
    'cheetahR' allows users to render millions of rows in just a few milliseconds, 
    making it an excellent alternative to other R table widgets. The package wraps 
    the 'Cheetah Grid' JavaScript functions and makes them readily available for R users.
    The underlying grid implementation is based on 'Cheetah Grid'
    <https://github.com/future-architect/cheetah-grid>.