mwc-probability-transition: A Markov stochastic transition operator with logging
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This package provides a Transition type that is useful for modelling (and debugging) stochastic transition kernels (used in e.g. the integration of SDEs, Markov chain Monte Carlo algorithms etc.).
It wraps the compositional random sampling functionality of `mwc-probability` and offers structured logging via `logging-effect`.
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- mwc-probability-transition-0.3.0.3.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1.0.0, 0.2.0.0, 0.3.0.0, 0.3.0.1, 0.3.0.2, 0.3.0.3, 0.4 |
|---|---|
| Dependencies | base (>=4.7 && <5), ghc-prim, logging-effect, mtl, mwc-probability, primitive, transformers [details] |
| Tested with | ghc ==8.2.2 |
| License | BSD-3-Clause |
| Copyright | 2018 Marco Zocca |
| Author | Marco Zocca |
| Maintainer | zocca.marco gmail |
| Category | Numeric, Random, Science, Scientific Simulation, Statistical Modeling, Statistics |
| Home page | https://github.com/ocramz/mwc-probability-transition |
| Source repo | head: git clone https://github.com/ocramz/mwc-probability-transition |
| Uploaded | by ocramz at 2018-04-21T09:43:39Z |
| Distributions | NixOS:0.4 |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 3452 total (27 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs available [build log] Last success reported on 2018-04-21 [all 1 reports] |
Readme for mwc-probability-transition-0.3.0.3
[back to package description]mwc-probability-transition
Types and primitives for stochastic simulation (e.g. integration of SDE, random walks, Markov Chain Monte Carlo algorithms etc.)