A flexible framework for calculating Elo ratings and resulting
rankings of any two-team-per-matchup system (chess, sports leagues, 'Go',
etc.). This implementation is capable of evaluating a variety of matchups,
Elo rating updates, and win probabilities, all based on the basic Elo
rating system. It also includes methods to benchmark performance,
including logistic regression and Markov chain models.

Ranking Teams by Elo Rating and Comparable Methods

elrm implements a Markov Chain Monte Carlo algorithm to approximate exact conditional inference for logistic regression models. Exact conditional inference is based on the distribution of the sufficient statistics for the parameters of interest given the sufficient statistics for the remaining nuisance parameters. Using model formula notation, users specify a logistic model and model terms of interest for exact inference.

elrm implements a Markov Chain Monte Carlo algorithm to
approximate exact conditional inference for logistic regression
models. Exact conditional inference is based on the
distribution of the sufficient statistics for the parameters of
interest given the sufficient statistics for the remaining
nuisance parameters. Using model formula notation, users
specify a logistic model and model terms of interest for exact
inference.

c(person(given="David", family="Zamar", role = c("aut", "cre"), email = "zamar.david@gmail.com"),
person(given="Jinko", family="Graham", role = "aut"),
person(given="Brad", family="McNeney", role = "aut"),
person(given="Techsoft Pvt. Ltd", role = "ctb"))
David Zamar [aut, cre],
Jinko Graham [aut],
Brad McNeney [aut],
Techsoft Pvt. Ltd [ctb]
Implements a Markov Chain Monte Carlo algorithm to approximate
exact conditional inference for logistic regression models. Exact
conditional inference is based on the distribution of the sufficient
statistics for the parameters of interest given the sufficient statistics
for the remaining nuisance parameters. Using model formula notation, users
specify a logistic model and model terms of interest for exact inference.
See Zamar et al. (2007) <doi:10.18637/jss.v021.i03> for more details.