Loads the 5 packages in the Tidy Consultant Universe. This collection of packages is useful for anyone doing data science,
    data analysis, or quantitative consulting. The functions in these packages range from data cleaning, data validation, data binning, statistical modeling, and file exporting.

Computes correlation matrices as tidy data frames and creates
    publication-ready correlograms with 'ggplot2'. The package is designed for
    teaching and exploratory analysis workflows where users want one consistent
    interface for selecting numeric variables, calculating pairwise correlations,
    optionally estimating p-values, reordering variables, and drawing tile,
    point, or mixed correlograms.

A comprehensive and user-friendly interface for accessing, manipulating, 
    and analyzing country-level data from around the world. It allows users to retrieve detailed 
    information on countries, including names, regions, continents, populations, currencies, calling codes, 
    and more, all in a tidy data format. The package is designed to work seamlessly within 
    the 'tidyverse' ecosystem, making it easy to filter, arrange, and visualize country-level data in R.

Core parts of the C API of R are wrapped in a C++ namespace via a set
 of inline functions giving a tidier representation of the underlying data structures
 and functionality using a header-only implementation without additional dependencies.

The Common Workflow Language <https://www.commonwl.org/> is an
    open standard for describing data analysis workflows. This package takes
    the raw Common Workflow Language workflows encoded in JSON or 'YAML'
    and turns the workflow elements into tidy data frames or lists.
    A graph representation for the workflow can be constructed and visualized
    with the parsed workflow inputs, outputs, and steps. Users can embed the
    visualizations in their 'Shiny' applications, and export them
    as HTML files or static images.

Provides model specifications, tuning parameters for models in 
    'dann' package. Models based on Hastie (1996) 
    <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.