rvar: Random Variables
Random number generation based on modeling random
variables by an abstract type (RVar
) which can be
composed and manipulated monadically and sampled in
either monadic or "pure" styles.
The primary purpose of this library is to support defining and sampling a wide variety of high quality random variables. Quality is prioritized over speed, but performance is an important goal too.
In my testing, I have found it capable of speed comparable to other Haskell libraries, but still a fair bit slower than straight C implementations of the same algorithms.
Flags
Automatic Flags
Name | Description | Default |
---|---|---|
mtl2 | mtl-2 has State, etc., as "type" rather than "newtype" | Enabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- rvar-0.3.0.2.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
Versions [RSS] | 0.2, 0.2.0.1, 0.2.0.2, 0.2.0.3, 0.2.0.4, 0.2.0.6, 0.3.0.0, 0.3.0.1, 0.3.0.2 |
---|---|
Change log | changelog.md |
Dependencies | base (>=3 && <5), bytestring, MonadPrompt (>=1.0 && <1.1), mtl (>=1.1 && <1.2 || >=2 && <3), random (>=1.2.0), transformers (>=0.2 && <0.7) [details] |
Tested with | ghc ==8.10.7 |
License | LicenseRef-PublicDomain |
Author | James Cook <mokus@deepbondi.net> |
Maintainer | Dominic Steinitz <dominic@steinitz.org> |
Category | Math |
Home page | https://github.com/haskell-numerics/random-fu |
Source repo | head: git clone https://github.com/haskell-numerics/random-fu(rvar) |
Uploaded | by DominicSteinitz at 2023-04-16T09:47:05Z |
Distributions | Arch:0.3.0.2, Debian:0.2.0.6, LTSHaskell:0.3.0.2, NixOS:0.3.0.2, Stackage:0.3.0.2 |
Reverse Dependencies | 11 direct, 55 indirect [details] |
Downloads | 12329 total (65 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs uploaded by user Build status unknown [no reports yet] |