lazyppl

Lazy Probabilistic Programming Library

https://lazyppl-team.github.io/

LTS Haskell 23.15:	1.0
Stackage Nightly 2024-12-09:	1.0
Latest on Hackage:	1.0

See all snapshots lazyppl appears in

MIT licensed by LazyPPL team

Maintained by [email protected]

This version can be pinned in stack with:lazyppl-1.0@sha256:60294bfc65207393cb5f315625e0d73d0a335cf8744c5079f17c8cd17331df40,1729

Module documentation for 1.0

LazyPPL
- LazyPPL.Distributions

Depends on 9 packages(full list with versions):

base, containers, hmatrix, log-domain, math-functions, monad-extras, mtl, random, transformers

LazyPPL is a Haskell library for Bayesian probabilistic programming. It supports lazy use of probability, which is useful for specifying non-parametric models, and we provide new Metropolis-Hastings algorithms to allow this. For illustrations, see https://lazyppl-team.github.io/. The Gaussian Process module uses hmatrix, which requires a separate lapack installation (or -dev or -devel).