bayesmix: a nonparametric C++ library for mixture models

bayesmix is a C++ library for running MCMC simulations in Bayesian mixture models. It uses the Eigen library for vector-matrix manipulation and linear algebra, and protobuf (Protocol Buffers) for communication and storage of structured data.

Submodules

There are currently three submodules to the bayesmix library, represented by three classes of objects:

• Algorithms

• Hierarchies

• Mixings

Further, we employ Protocol buffers for several purposes, including serialization. The list of all protos with their docs is available in the protos link below.

API: library submodules

• Algorithms
• Hierarchies
  • Likelihoods
  • Prior Models
  • Updaters
  • States
• Mixings
• Collectors
• Protos
• Utils

Tutorials

• Tutorial - Univariate data

Python interface

• BayesMixPy: a Python interface to BayesMix

Indices and tables

• Index

• Module Index

• Search Page