The rvar package
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.
Changes in 0.2.0.1: Version bump for transformers dependency.
Properties
| Versions | 0.2, 0.2.0.1 |
|---|---|
| Dependencies | base (≥3 & <5), MonadPrompt (1.0.*), mtl (1.1.*), random-source (0.3.*), transformers (≥0.2 & <0.4) or base (≥3 & <5), MonadPrompt (1.0.*), mtl (2.*), random-source (0.3.*), transformers (≥0.2 & <0.4) |
| License | PublicDomain |
| Author | James Cook <james.cook@usma.edu> |
| Maintainer | James Cook <james.cook@usma.edu> |
| Stability | stable |
| Category | Math |
| Home page | https://github.com/mokus0/random-fu |
| Source repository | git clone https://github.com/mokus0/random-fu.git |
| Upload date | Fri Apr 13 12:12:02 UTC 2012 |
| Uploaded by | JamesCook |
| Built on | ghc-7.4 |
| Distributions | NixOS: 0.2.0.1 |
Modules
- Data
Downloads
- rvar-0.2.0.1.tar.gz (Cabal source package)
- package description (included in the package)