tdigest: On-line accumulation of rank-based statistics
A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means.
See original paper: "Computing extremely accurate quantiles using t-digest" by Ted Dunning and Otmar Ertl for more details https://github.com/tdunning/t-digest/blob/07b8f2ca2be8d0a9f04df2feadad5ddc1bb73c88/docs/t-digest-paper/histo.pdf.
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Versions [RSS] | 0, 0.1, 0.2, 0.2.1, 0.2.1.1, 0.3, 0.3.1 |
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Change log | CHANGELOG.md |
Dependencies | base (>=4.12.0.0 && <4.22), binary (>=0.8.6.0 && <0.10), deepseq (>=1.4.4.0 && <1.6), foldable1-classes-compat (>=0.1 && <0.2), reducers (>=3.12.2 && <3.13), transformers (>=0.5.6.2 && <0.7), vector (>=0.12.0.1 && <0.14), vector-algorithms (>=0.7.0.1 && <0.10) [details] |
Tested with | ghc ==8.6.5 || ==8.8.4 || ==8.10.7 || ==9.0.2 || ==9.2.8 || ==9.4.8 || ==9.6.6 || ==9.8.2 || ==9.10.1 |
License | BSD-3-Clause |
Author | Oleg Grenrus <oleg.grenrus@iki.fi> |
Maintainer | Oleg Grenrus <oleg.grenrus@iki.fi> |
Category | Numeric |
Home page | https://github.com/phadej/haskell-tdigest#readme |
Bug tracker | https://github.com/phadej/haskell-tdigest/issues |
Source repo | head: git clone https://github.com/phadej/haskell-tdigest(tdigest) |
Uploaded | by phadej at 2024-07-03T13:03:21Z |
Distributions | Arch:0.3.1, LTSHaskell:0.3.1, NixOS:0.3.1, Stackage:0.3.1 |
Reverse Dependencies | 11 direct, 19 indirect [details] |
Downloads | 11919 total (200 in the last 30 days) |
Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
Your Rating | |
Status | Docs available [build log] Last success reported on 2024-07-03 [all 1 reports] |