and statistics from the Premier Hockey Federation (PHF) <https://www.premierhockeyfederation.com/>, formerly

Title: Fast Calculation of Spillover Measures
Author: Stefan Kloessner <S.Kloessner@mx.uni-saarland.de>, Sven Wagner
Description: Functions for computing spillover measures, especially
spillover tables and spillover indices, as well as their

Authors@R: c(person("Stefan","Kloessner", role = c("aut","cre"),
Description: Functions for computing spillover measures, especially spillover
tables and spillover indices, as well as their average, minimal, and maximal

Description: When we do statistic work, we need to see the structure of the data.
list.str() function will help you see the structure of the data quickly.
list.plot() function can help you check every variable in your dataframe.
table_one() function will make it easy to make a baseline table including
difference tests. uv_linear(), uv_logit(), uv_cox(), uv_logrank() will give
you a hand to do univariable regression analysis, while mv_linear(),
mv_logit() and mv_cox() will carry out multivariable regression analysis.
Imports: set, reshape2, do, plyr, car, e1071, tseries, survival,

Title: Efficient Learning of Word Representations and Sentence
Authors@R: c( person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0002-8024-1546")), person("Facebook", "Inc", role = "cph") )
Description: 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, <arXiv:1612.03651>.
SystemRequirements: Generally, fastText builds on modern Mac OS and
Linux distributions. Since it uses some C++11 features, it
requires a compiler with good C++11 support. These include a
(g++-4.7.2 or newer) or a (clang-3.3 or newer).
Imports: Rcpp (>= 1.0.0), ggplot2, grid, utils, glue, data.table