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data.sketches
View on CRAN: Click
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Download and install data.sketches package within the R console
Install from CRAN:
install.packages("data.sketches")
Install from Github:
library("remotes")
install_github("cran/data.sketches") Install by package version:
library("remotes")
install_version("data.sketches", "0.1.0") Attach the package and use:
library("data.sketches")
Maintained by
Pedro Baltazar
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[Scholar Profile | Author Map]
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First Published: 2026-07-09
Latest Update: 2026-07-09
Description:
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.
How to cite:
Pedro Baltazar (2026). data.sketches: Probabilistic Streaming Data Sketches. R package version 0.1.0, https://cran.r-project.org/web/packages/data.sketches. Accessed 07 Aug. 2026.
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