Computes and visualize the results of the 0-1 test for chaos proposed
    by Gottwald and Melbourne (2004) <DOI:10.1137/080718851>. The algorithm is
    available in parallel for the independent values of parameter c. Additionally,
    fast RQA is added to distinguish chaos from noise.

The main objective of the package is to enter a word of at least two letters based on which an Iterated Function System with Probabilities is constructed, and a two-dimensional fractal containing the chosen word infinitely often is generated via the Chaos Game. Additionally, the package allows to project the two-dimensional fractal on several three-dimensional surfaces and to transform the fractal into another fractal with uniform marginals.

Make fake data, supporting addresses, person names, dates,
    times, colors, coordinates, currencies, digital object identifiers
    ('DOIs'), jobs, phone numbers, 'DNA' sequences, doubles and integers
    from distributions and within a range.

Provides a very simple syntax for the user to generate custom plot(s) without having to remember complicated 'ggplot2' syntax. The 'chartql' package uses 'ggplot2' and manages all the syntax complexities internally. As an example, to generate a bar chart of company sales faceted by product category further faceted by season of the year, we simply write: "CHART bar X category, season Y sales".

The Large Language Model (LLM) represents a groundbreaking advancement 
    in data science and programming, and also allows us to extend the world of R. 
    A seamless interface for integrating the 'OpenAI' Web APIs into R is provided in this package. 
    This package leverages LLM-based AI techniques, enabling efficient knowledge discovery and data analysis 
    (see 'OpenAI' Web APIs details <https://openai.com/blog/openai-api>).
    The previous functions such as seamless translation and image generation have been moved 
    to other packages 'deepRstudio' and 'stableDiffusion4R'.

'OpenAI's 'ChatGPT' <https://chat.openai.com/> coding assistant for 'RStudio'. A set 
  of functions and 'RStudio' addins that aim to help the R developer in tedious coding tasks.