Package0.3Numeric
tdigest
On-line accumulation of rank-based statistics
- Version0.3
- CategoryNumeric
- LicenceBSD-3-Clause
- AuthorOleg Grenrus <oleg.grenrus@iki.fi>
- MaintainerOleg Grenrus <oleg.grenrus@iki.fi>
- Homepagegithub.com/phadej/haskell-tdigest#readme
- Pinned byhackage tdigest 0.3
- Sourcehackage.haskell.org/package/tdigest-0.3
Modules
13 modules- Data.TDigest0
- Data.TDigest.NonEmpty0
- Data.TDigest.Postprocess10
- Data.TDigest.Tree20A new data structure for accurate on-line accumulation of rank-based
- Data.TDigest.Tree.NonEmpty21This is non empty version of Data.TDigest.TDigest, i.e. this is not a Monoid,
- Data.TDigest.Tree.Postprocess7TDigest postprocessing functions. These are re-exported from Data.TDigest module.
- Data.TDigest.Vector19A new data structure for accurate on-line accumulation of rank-based
- Data.TDigest.Vector.NonEmpty0
- Data.TDigest.Vector.Postprocess7TDigest postprocessing functions. These are re-exported from Data.TDigest module.
Internal modules · 4
- Data.TDigest.Internal8
- Data.TDigest.Postprocess.Internal9TDigest postprocessing functions. These are re-exported from Data.TDigest module.
- Data.TDigest.Tree.Internal30Internals of TDigest. Tree implementation is based on Adams’ Trees Revisited by Milan Straka
- Data.TDigest.Vector.Internal21
Description
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.
Depends on
8 packages- base-4.20.2.0with GHC
- base-compat-0.14.1in this set
- binary-0.8.9.3with GHC
- deepseq-1.5.0.0with GHC
- reducers-3.12.5in this set
- transformers-0.6.1.1with GHC
- vector-0.13.2.0in this set
- vector-algorithms-0.9.1.0in this set
Used by in this set · 0
Nothing in this set depends on it.