# mcmc

Sample from a posterior using Markov chain Monte Carlo

https://github.com/dschrempf/mcmc#readme

LTS Haskell 19.25: | 0.6.2.2 |

Stackage Nightly 2022-09-30: | 0.8.0.1 |

Latest on Hackage: | 0.8.0.1 |

Maintained by

**dominik.schrempf@gmail.com**This version can be pinned in stack with:

`mcmc-0.8.0.1@sha256:137c37c59e94da44018e1fe8ddd84767ab8af2cc0e893326ff8065ccb94c09da,3302`

#### Module documentation for 0.8.0.1

- Mcmc
- Mcmc.Acceptance
- Mcmc.Algorithm
- Mcmc.Chain
- Mcmc.Cycle
- Mcmc.Environment
- Mcmc.Internal
- Mcmc.Jacobian
- Mcmc.Likelihood
- Mcmc.Logger
- Mcmc.MarginalLikelihood
- Mcmc.Mcmc
- Mcmc.Monitor
- Mcmc.Posterior
- Mcmc.Prior
- Mcmc.Proposal
- Mcmc.Settings
- Mcmc.Statistics

Depends on 24 packages

*(full list with versions)*: