A utility to scrape and load play-by-play data
    and statistics from the Premier Hockey Federation (PHF) <https://www.premierhockeyfederation.com/>, formerly
    known as the National Women's Hockey League (NWHL). Additionally, allows access to the National Hockey League's
    stats API <https://www.nhl.com/>.

A data package that hosts all models for the 'nflfastR'
    package.

Infrastrcture for creating rich, dynamic web content using R scripts while maintaining very fast response time.

Computes fast (relative to other implementations) approximate 
    Shapley values for any supervised learning model. Shapley values help to 
    explain the predictions from any black box model using ideas from game 
    theory; see Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> 
    for details.

It implements an improved and computationally faster version 
            of the original Stepwise Gaussian Graphical Algorithm for estimating 
            the Omega precision matrix from high-dimensional data. 
            Zamar, R., Ruiz, M., Lafit, G. and Nogales, J. (2021) 
            <doi:10.52933/jdssv.v1i2.11>.

An interface to the 'fastText' <https://github.com/facebookresearch/fastText> library for efficient learning of word representations and sentence classification. The 'fastText' algorithm is explained in detail in (i) "Enriching Word Vectors with subword Information", Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov, 2017, <doi:10.1162/tacl_a_00051>; (ii) "Bag of Tricks for Efficient Text Classification", Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, 2017, <doi:10.18653/v1/e17-2068>; (iii) "FastText.zip: Compressing text classification models", Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herve Jegou, Tomas Mikolov, 2016, <doi:10.48550/arXiv.1612.03651>.

An interface to the 'fastText' library
	<https://github.com/facebookresearch/fastText>. The package
	can be used for text classification and to learn word vectors.
	An example how to use 'fastTextR' can be found in the 'README' file.