Package: tdigest Type: Package Title: Wicked Fast, Accurate Quantiles Using t-Digests Version: 0.4.3 Date: 2026-05-05 Authors@R: c( person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5670-2640")), person("Ted", "Dunning", role = "aut", comment = "t-Digest algorithm; "), person("Andrew", "Werner", role = "aut", comment = "Original C+ code; ") ) Description: The t-Digest construction algorithm, by Dunning, (2019) , 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. URL: https://git.sr.ht/~hrbrmstr/tdigest BugReports: https://todo.sr.ht/~hrbrmstr/tdigest Copyright: file inst/COPYRIGHTS Encoding: UTF-8 License: MIT + file LICENSE Suggests: testthat, covr, spelling Depends: R (>= 3.5.0) Imports: magrittr, stats Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.1 Language: en-US Repository: https://hrbrmstr.r-universe.dev Date/Publication: 2026-05-05 13:40:07 UTC RemoteUrl: https://github.com/hrbrmstr/tdigest RemoteRef: HEAD RemoteSha: a007e203884bf84c309b88d79d998b58f354b529 NeedsCompilation: yes Packaged: 2026-07-05 05:54:12 UTC; root Author: Bob Rudis [aut, cre] (ORCID: ), Ted Dunning [aut] (t-Digest algorithm; ), Andrew Werner [aut] (Original C+ code; ) Maintainer: Bob Rudis