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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "winning" in publications use:'
type: software
license: MIT
title: 'winning: Contest Win Probabilities and Ability Calibration'
version: 0.3.0
doi: 10.32614/CRAN.package.winning
abstract: 'Solves the horse race problem in both directions. Infers relative ability
  from win probabilities (or betting dividends) for contests whose entrants share
  a common performance distribution, with dead heats handled exactly, by the lattice
  fixed-point algorithm of Cotton (2021) <https://doi.org/10.1137/19M1276261>. Also
  computes all N win probabilities of a factor-structured Gaussian race (multinomial
  probit with low-rank-plus-diagonal covariance) in one shared-lattice pass of O(Q*N*L)
  operations, and inverts observed shares to abilities by a damped Newton method with
  analytic slopes. A dependency-free base-R port of the reference python package ''winning''.
  Performances are times: lowest wins.'
authors:
- family-names: Cotton
  given-names: Peter
  email: peter.cotton@microprediction.com
repository: https://microprediction.r-universe.dev
repository-code: https://github.com/microprediction/winning
commit: acfb360e262195ee80f8785d75e8cc6f90cd393e
url: https://github.com/microprediction/winning
date-released: '2026-09-09'
contact:
- family-names: Cotton
  given-names: Peter
  email: peter.cotton@microprediction.com