random-fu: Random number generation
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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.
Properties
| Versions | 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, 0.3.0.1 |
|---|---|
| Change log | changelog.md |
| Dependencies | base (>=4 && <4.2 || >=4.9 && <5), erf, math-functions, monad-loops (>=0.3.0.1), mtl (>=1 && <3), random (>=1.2 && <1.3), random-shuffle, rvar (>=0.3), syb, template-haskell, transformers, vector (>=0.7) [details] |
| License | LicenseRef-PublicDomain |
| Author | James Cook <mokus@deepbondi.net> |
| Maintainer | Dominic Steinitz <dominic@steinitz.org> |
| Category | Math |
| Home page | https://github.com/mokus0/random-fu |
| Source repo | head: git clone https://github.com/haskell-numerics/random-fu(random-fu) |
| Uploaded | by DominicSteinitz at 2023-04-16T09:45:20Z |
Modules
[Index] [Quick Jump]
- 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.Simplex
- Data.Random.Distribution.StretchedExponential
- Data.Random.Distribution.T
- 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.Vector
- 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-0.3.0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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