The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

tdigest: Wicked Fast, Accurate Quantiles Using t-Digests

The t-Digest construction algorithm, by Dunning et al., (2019) <doi: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.

Version: 0.4.2
Depends: R (≥ 3.5.0)
Imports: magrittr, stats
Suggests: testthat, covr, spelling
Published: 2024-06-19
DOI: 10.32614/CRAN.package.tdigest
Author: Bob Rudis ORCID iD [aut, cre], Ted Dunning [aut] (t-Digest algorithm; <https://github.com/tdunning/t-digest/>), Andrew Werner [aut] (Original C+ code; <https://github.com/ajwerner/tdigest>)
Maintainer: Bob Rudis <bob at rud.is>
BugReports: https://todo.sr.ht/~hrbrmstr/tdigest
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
tdigest copyright details
URL: https://git.sr.ht/~hrbrmstr/tdigest
NeedsCompilation: yes
Language: en-US
CRAN checks: tdigest results

Documentation:

Reference manual: tdigest.pdf

Downloads:

Package source: tdigest_0.4.2.tar.gz
Windows binaries: r-devel: tdigest_0.4.2.zip, r-release: tdigest_0.4.2.zip, r-oldrel: tdigest_0.4.2.zip
macOS binaries: r-release (arm64): tdigest_0.4.2.tgz, r-oldrel (arm64): tdigest_0.4.2.tgz, r-release (x86_64): tdigest_0.4.2.tgz, r-oldrel (x86_64): tdigest_0.4.2.tgz
Old sources: tdigest archive

Reverse dependencies:

Reverse depends: meboot
Reverse imports: PAMscapes

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tdigest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.