Provides a suite of functions for analysing, interpreting, and visualising
    time-series features calculated from different feature sets from the 'theft' package. 
    Implements statistical learning methodologies described in Henderson, T.,  
    Bryant, A., and Fulcher, B. (2023) <doi:10.48550/arXiv.2303.17809>.

Provides a simple interface to search available data provided by
    Theia (<https://theia.cnes.fr>), download it, and manage it. Data can be downloaded
    based on a search result or from a cart file downloaded from Theia website.

Theme 'ggplot2', 'lattice', and 'base' graphics based on a
    few choices, including foreground color, background color, accent
    color, and font family. Fonts that aren't available on the system, but
    are available via download on 'Google Fonts', can be automatically
    downloaded, cached, and registered for use with the 'showtext' and
    'ragg' packages.

A dataset with an uneven number of cases in each class is
    said to be unbalanced. Many models produce a subpar performance on
    unbalanced datasets. A dataset can be balanced by increasing the
    number of minority cases using SMOTE 2011 <doi:10.48550/arXiv.1106.1813>,
    BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008
    <https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the
    number of majority cases using NearMiss 2003
    <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek
    link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.

Utilizing the 'OpenAI' API as the back end (<https://platform.openai.com/docs/api-reference>), 'TheOpenAIR' offers 'R' wrapper functions for the 'ChatGPT' endpoint and several high-level functions that enable the integration of 'ChatGPT' capabilities in diverse data-related tasks, such as data cleansing and automated analytics script generation.

An integrated suite of tools for creating, maintaining, and reusing
    FAIR (Findable, Accessible, Interoperable, Reusable) theories.
    Designed to support transparent and collaborative theory development,
    the package enables users to formalize theories,
    track changes with version control,
    assess pre-empirical coherence,
    and derive testable hypotheses.
    Aligning with open science principles and workflows,
    'theorytools' facilitates the systematic improvement of theoretical frameworks
    and enhances their discoverability and usability.