Calculates ratings for two-player or 
  multi-player challenges. Methods included in package such as are able to 
  estimate ratings (players strengths) and their evolution in time, also able to 
  predict output of challenge. Algorithms are based on Bayesian Approximation 
  Method, and they don't involve any matrix inversions nor likelihood estimation. 
  Parameters are updated sequentially, and computation doesn't require any 
  additional RAM to make estimation feasible. Additionally, base of the package 
  is written in C++ what makes sport computation even faster. Methods used in the 
  package refer to Mark E. Glickman (1999) 
  <https://www.glicko.net/research/glicko.pdf>; 
  Mark E. Glickman (2001) <doi:10.1080/02664760120059219>; 
  Ruby C. Weng, Chih-Jen Lin (2011) <https://www.jmlr.org/papers/volume12/weng11a/weng11a.pdf>; 
  W. Penny, Stephen J. Roberts (1999) <doi:10.1109/IJCNN.1999.832603>.

A comprehensive toolkit for mining, analyzing, and visualizing
    scientific literature in sport science domains. Provides functions for
    retrieving abstracts from 'Scopus', preprocessing text data, performing
    advanced topic modeling using Latent Dirichlet Allocation ('LDA'),
    Structural Topic Models ('STM'), and Correlated Topic Models ('CTM'),
    and creating publication-ready visualizations including keyword
    co-occurrence networks and topic trends. For methodological details see
    Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993> for 'LDA',
    Roberts et al. (2014) <doi:10.1111/ajps.12103> for 'STM', and
    Blei and Lafferty (2007) <doi:10.1214/07-AOAS114> for 'CTM'.

A time series causal inference model for Randomized Controlled Trial (RCT) under spillover effect. 'SPORTSCausal' (Spillover Time Series Causal Inference) separates treatment effect and spillover effect from given responses of experiment group and control group by predicting the response without treatment. It reports both effects by fitting the Bayesian Structural Time Series (BSTS) model based on 'CausalImpact', as described in Brodersen et al. (2015) <doi:10.1214/14-AOAS788>.