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data.sketches  

Probabilistic Streaming Data Sketches
View on CRAN: Click here


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", "0.1.1")



Attach the package and use:
library("data.sketches")
Maintained by
Pedro Baltazar
[Scholar Profile | Author Map]
All associated links for this package
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 0.1.1, https://cran.r-project.org/web/packages/data.sketches. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-09-23 16:50), 0.1.0 (2026-07-09 11:00)
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Complete documentation for data.sketches
Functions, R codes and Examples using the data.sketches R package
Full data.sketches package functions and examples
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