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cff-version: 1.2.0
message: 'To cite package "BradleyTerryScalable" in publications use:'
type: software
license: GPL-3.0-only
title: 'BradleyTerryScalable: Fits the Bradley-Terry Model to Potentially Large and
  Sparse Networks of Comparison Data'
version: 0.1.0.9300
abstract: Facilities are provided for fitting the simple, unstructured Bradley-Terry
  model to networks of binary comparisons. The implemented methods are designed to
  scale well to large, potentially sparse, networks. A fairly high degree of scalability
  is achieved through the use of EM and MM algorithms, which are relatively undemanding
  in terms of memory usage (relative to some other commonly used methods such as iterative
  weighted least squares, for example). Both maximum likelihood and Bayesian MAP estimation
  methods are implemented. The package provides various standard methods for a newly
  defined 'btfit' model class, such as the extraction and summarisation of model parameters
  and the simulation of new datasets from a fitted model. Tools are also provided
  for reshaping data into the newly defined "btdata" class, and for analysing the
  comparison network, prior to fitting the Bradley-Terry model. This package complements,
  rather than replaces, the existing 'BradleyTerry2' package. (BradleyTerry2 has rather
  different aims, which are mainly the specification and fitting of "structured" Bradley-Terry
  models in which the strength parameters depend on covariates.)
authors:
- family-names: Kaye
  given-names: Ella
  email: E.Kaye.1@warwick.ac.uk
- family-names: Firth
  given-names: David
repository: https://ellakaye.r-universe.dev
repository-code: https://github.com/EllaKaye/BradleyTerryScalable
commit: 908f5f4887bb48c14c2ea3872b14ad881e452c0a
url: https://github.com/EllaKaye/BradleyTerryScalable
contact:
- family-names: Kaye
  given-names: Ella
  email: E.Kaye.1@warwick.ac.uk