@hackage rvar0.3.0.2
Random Variables
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LicenseRef-PublicDomain
Maintainer
Dominic Steinitz <dominic@steinitz.org>
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Dependencies (6)
- MonadPrompt >=1.0 && <1.1
- base >=3 && <5
- bytestring
- mtl >=1.1 && <1.2
- random >=1.2.0
- transformers >=0.2 && <0.7 Show all…
Dependents (11)
@hackage/polysemy-RandomFu, @hackage/bayes-stack, @hackage/acme-everything, @hackage/random-fu, @hackage/quantfin, @hackage/hopfield, Show all…
Package Flags
mtl2
(on by default)
mtl-2 has State, etc., as "type" rather than "newtype"
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.