It calculates the alpha-quantile proposed by Daouia and Simar (2007) <doi:10.1016/j.jeconom.2006.07.002> and order-m efficiency score in multi-dimension proposed by Daouia and Gijbels (2011) <doi:10.1016/j.jeconom.2010.12.002> and computes several summaries and representation of the associated frontiers in 2d and 3d.

Extracts and parses structured metadata ('YAML' or 'TOML')
    from the beginning of text documents. Front matter is a common pattern
    in 'Quarto' documents, 'R Markdown' documents, static site generators,
    documentation systems, content management tools and even 'Python' and
    'R' scripts where metadata is placed at the top of a document,
    separated from the main content by delimiter fences.

An R API to MET Norway's 'Frost' API <https://frost.met.no/index.html> 
    to retrieve data as data frames. The 'Frost' API, and the underlying data, is 
    made available by the Norwegian Meteorological Institute (MET Norway). The data
    and products are distributed under the 
    Norwegian License for Open Data 2.0 (NLOD) <https://data.norge.no/nlod/en/2.0>
    and Creative Commons 4.0 <https://creativecommons.org/licenses/by/4.0/>.

Emulates a 'Forth' programming environment with added features to 
  interface between R and 'Forth'. Implements most of the functionality described 
  in the original "Starting Forth" textbook <https://www.forth.com/starting-forth/>.

Automatically perform 
             a reanalysis series
             on a data set using CNA, and calculate the fit-robustness
             of the resulting models, as described in 
             Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.

Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines.
 Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.