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conda-forge.org : pymc
PyMC is a python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.
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purl: pkg:conda/pymc
Keywords: bayesian-inference, mcmc, probabilistic-programming, pytensor, python, statistical-analysis, variational-inference
License: Apache-2.0
Latest release: over 1 year ago
First release: almost 2 years ago
Dependent packages: 1
Dependent repositories: 15
Stars: 7,409 on GitHub
Forks: 1,754 on GitHub
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/numfocus, https://numfocus.org/donate-to-pymc
Last synced: about 11 hours ago