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# CITATION 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 "tdigest" in publications use:'
type: software
license: MIT
title: 'tdigest: Wicked Fast, Accurate Quantiles Using t-Digests'
version: 0.4.2
doi: 10.32614/CRAN.package.tdigest
identifiers:
- type: url
  value: https://git.sr.ht/~hrbrmstr/tdigest
abstract: The t-Digest construction algorithm, by Dunning et al., (2019) <https://doi.org/10.48550/arXiv.1902.04023>,
  uses a variant of 1-dimensional k-means clustering to produce a very compact data
  structure that allows accurate estimation of quantiles. This t-Digest data structure
  can be used to estimate quantiles, compute other rank statistics or even to estimate
  related measures like trimmed means. The advantage of the t-Digest over previous
  digests for this purpose is that the t-Digest handles data with full floating point
  resolution. The accuracy of quantile estimates produced by t-Digests can be orders
  of magnitude more accurate than those produced by previous digest algorithms. Methods
  are provided to create and update t-Digests and retrieve quantiles from the accumulated
  distributions.
authors:
- family-names: Rudis
  given-names: Bob
  email: bob@rud.is
  orcid: https://orcid.org/0000-0001-5670-2640
- family-names: Dunning
  given-names: Ted
  website: https://github.com/tdunning/t-digest/
- family-names: Werner
  given-names: Andrew
  website: https://github.com/ajwerner/tdigest
repository: https://hrbrmstr.r-universe.dev
commit: e52b7460075afd1ba0885ef3b18878d8fbe1b080
url: https://todo.sr.ht/~hrbrmstr/tdigest
date-released: '2024-06-19'
contact:
- family-names: Rudis
  given-names: Bob
  email: bob@rud.is
  orcid: https://orcid.org/0000-0001-5670-2640