Loading data from 'tiktok Marketing API' <https://business-api.tiktok.com/portal> 
    by business centers, advertisers, budgets and reports.

A thin wrapper around the tiktoken-rs crate, allowing to encode text into Byte-Pair-Encoding (BPE) tokens and decode tokens back to text. This is useful to understand how Large Language Models (LLMs) perceive text.

Builds the 'TinyCC' (Tiny 'C' Compiler) command-line interface
    and library for package use in 'R'. The package compiles 'TinyCC' from source and
    provides R functions to interact with the compiler. 'TinyCC' can be
    used for header preprocessing, just-in-time compilation of 'C' code in
    'R', and lightweight 'C' scripting workflows.

R tools to measure and compare inequality, welfare and poverty using the EU statistics on income and living conditions surveys.

Color palettes from famous artists and paintings.

Rarefy data, calculate diversity and plot the results.

A toolkit for Commodities 'analytics', risk management and
    trading professionals. Includes functions for API calls to
    <https://www.zema.global/platforms/zema-marketplace>, <https://developer.genscape.com/>,
    and <https://www.bankofcanada.ca/valet/docs>.

Provide seamless support for right-to-left (RTL) languages, such as Persian and Arabic,
  in R Markdown documents and 'LaTeX' output. It includes functions and hooks that enable easy
  integration of RTL language content, allowing users to create documents that adhere to RTL writing
  conventions. For in-depth insights into dynamic documents and the 'knitr' package, consider referring
  to Xie, Y (2014) <ISBN: 978-1-482-20353-0>.

Convenience functions to make some common tasks with right-to-left string
    printing easier, more convenient and with no need to remember long Unicode
    characters. Specifically helpful for right-to-left languages such as Arabic,
    Persian and Hebrew.

A set of tools to process and calculate 
             metrics on point clouds derived from terrestrial LiDAR 
             (Light Detection and Ranging; TLS). Its creation is based on key 
             aspects of the TLS application in forestry and ecology. 
             Currently, the main routines are based on filtering, neighboring 
             features of points, voxelization, canopy structure, 
             and the creation of artificial stands. It is written using 
             data.table and C++ language and in most of the functions it is 
             possible to use parallel processing to speed-up the routines.