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cff-version: 1.2.0
message: 'To cite package "data.sketches" in publications use:'
type: software
license: MIT
title: 'data.sketches: Probabilistic Streaming Data Sketches'
version: 0.1.0
doi: 10.32614/CRAN.package.data.sketches
abstract: Provides an interface to the 'Apache DataSketches' (<https://datasketches.apache.org/>)
  library of streaming algorithms for approximate analytics on data too large to hold
  or process exactly. Sketches are compact, mergeable summaries built in a single
  pass over a stream that answer queries such as approximate distinct counts, quantiles
  and ranks, frequent items and point-frequency estimates, weighted sampling, and
  set membership with mathematically proven error bounds. Implements Karnin-Lang-Liberty
  (KLL), Relative Error Quantiles (REQ), t-Digest, HyperLogLog (HLL), Compressed Probabilistic
  Counting (CPC), Theta, Frequent Items, Count-Min, Array of Doubles, Variance Optimal
  (VarOpt), Exact and Bounded Probabilistic Proportional-to-Size (EBPPS), and Bloom
  filter sketches, with native serialization for interoperability with other 'Apache
  DataSketches' implementations.
authors:
- family-names: Baltazar
  given-names: Pedro
  email: pedrobtz@gmail.com
repository: https://pedrobtz.r-universe.dev
repository-code: https://github.com/pedrobtz/data.sketches
commit: dabb083144adf86da217669466b55738ef5cb0e1
url: https://pedrobtz.github.io/data.sketches/
date-released: '2026-06-23'
contact:
- family-names: Baltazar
  given-names: Pedro
  email: pedrobtz@gmail.com