random-fu: Random number generation
Random number generation based on modeling random
variables in two complementary ways: first, by the
parameters of standard mathematical distributions and,
second, 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.
Changes in 0.2.4.0: Added a Lift instance that resolves a common overlapping-instance issue in user code.
Changes in 0.2.3.1: Should now build on GHC 7.6
Changes in 0.2.3.0: Added stretched exponential distribution, contributed by Ben Gamari.
Changes in 0.2.2.0: Bug fixes in Data.Random.Distribution.Categorical.
Changes in 0.2.1.1: Changed some one-field data types to newtypes, updated types for GHC 7.4's removal of Eq and Show from the context of Num, and added RVarT versions of random variables in Data.Random.List
Modules
[Index]
- Data
- Data.Random
- Data.Random.Distribution
- Data.Random.Distribution.Bernoulli
- Data.Random.Distribution.Beta
- Data.Random.Distribution.Binomial
- Data.Random.Distribution.Categorical
- Data.Random.Distribution.ChiSquare
- Data.Random.Distribution.Dirichlet
- Data.Random.Distribution.Exponential
- Data.Random.Distribution.Gamma
- Data.Random.Distribution.Multinomial
- Data.Random.Distribution.Normal
- Data.Random.Distribution.Pareto
- Data.Random.Distribution.Poisson
- Data.Random.Distribution.Rayleigh
- Data.Random.Distribution.StretchedExponential
- Data.Random.Distribution.Triangular
- Data.Random.Distribution.Uniform
- Data.Random.Distribution.Weibull
- Data.Random.Distribution.Ziggurat
- Internal
- Data.Random.Lift
- Data.Random.List
- Data.Random.RVar
- Data.Random.Sample
- Data.Random.Distribution
- Data.Random
Flags
Automatic Flags
| Name | Description | Default |
|---|---|---|
| base4_2 | base-4.2 has an incompatible change in Data.Fixed (HasResolution) | Enabled |
| 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
- random-fu-0.2.4.0.tar.gz [browse] (Cabal source package)
- Package description (revised from the package)
Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
| Versions [RSS] | 0.0.0.2, 0.0.1.1, 0.0.2.0, 0.0.2.1, 0.0.3, 0.0.3.2, 0.1.0.0, 0.1.3, 0.1.4, 0.2, 0.2.1.0, 0.2.1.1, 0.2.2.0, 0.2.3.0, 0.2.3.1, 0.2.4.0, 0.2.5.0, 0.2.6.0, 0.2.6.1, 0.2.6.2, 0.2.7.0, 0.2.7.3, 0.2.7.4, 0.2.7.6, 0.2.7.7, 0.3.0.0, 0.3.0.1 (info) |
|---|---|
| Dependencies | base (>=4 && <4.8), erf, erf-native, gamma, monad-loops (>=0.3.0.1), mtl (>=1 && <3), random-shuffle, random-source (>=0.3 && <0.4), rvar (>=0.2 && <0.3), syb, template-haskell, transformers, vector (>=0.7) [details] |
| Tested with | ghc ==7.4.2, ghc ==7.6.1 |
| License | LicenseRef-PublicDomain |
| Author | James Cook <mokus@deepbondi.net> |
| Maintainer | James Cook <mokus@deepbondi.net> |
| Revised | Revision 1 made by Bodigrim at 2022-02-23T23:25:13Z |
| Category | Math |
| Home page | https://github.com/mokus0/random-fu |
| Source repo | head: git clone https://github.com/mokus0/random-fu.git(random-fu) |
| Uploaded | by JamesCook at 2013-01-02T17:33:19Z |
| Distributions | Arch:0.3.0.1, Debian:0.2.7.4, LTSHaskell:0.3.0.1, NixOS:0.3.0.1, Stackage:0.3.0.1 |
| Reverse Dependencies | 44 direct, 21 indirect [details] |
| Downloads | 27550 total (2 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs uploaded by user Build status unknown [no reports yet] |