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, 0.2.7.7, 0.3.0.0, 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, random-source (>=0.3 && <0.4), rvar (>=0.2 && <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/mokus0/random-fu.git(random-fu) |
Uploaded | by BertramFelgenhauer at 2020-08-06T14:40:19Z |
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-0.2.7.7.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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