Probabilistic Streaming Data Sketches R package data.sketches version 0.1.0 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. Software Depends: R (>= 4.1.0) Imports: R6, rlang LinkingTo: cpp11 Suggests: testthat (>= 3.0.0) Pedro Baltazar <pedrobtz@gmail.com> Comprehensive R Archive Network (CRAN) Pedro Baltazar [aut, cre, cph], The Apache Software Foundation [ctb] (Author of bundled Apache DataSketches C++ code), Stephan Brumme [ctb] (Author of bundled xxhash64.h code), Austin Appleby [ctb] (Author of bundled public-domain MurmurHash3 code), Sean Eron Anderson [ctb] (Author of bundled public-domain bit-hack code used in ceiling_power_of_2.hpp) MIT + file LICENSE (https://CRAN.R-project.org/package=data.sketches/LICENSE) 2026-07-09 application/tgz https://CRAN.R-project.org/package=data.sketches doi:10.32614/CRAN.package.data.sketches