{"@context":"https://w3id.org/codemeta/3.0","@type":"SoftwareSourceCode","identifier":"pkg:conda/pymc","name":"pymc","description":"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.","version":"6.0.1","softwareVersion":"6.0.1","license":["https://spdx.org/licenses/Apache-2.0","https://spdx.org/licenses/MIT"],"codeRepository":"https://github.com/pymc-devs/pymc","issueTracker":"https://github.com/pymc-devs/pymc/issues","url":"https://www.pymc.io/welcome.html","programmingLanguage":{"@type":"ComputerLanguage","name":"Python"},"dateCreated":"2019-04-19","dateModified":"2026-06-08","datePublished":"2026-06-08","copyrightYear":2019,"downloadUrl":"https://repo.anaconda.com/pkgs/main/linux-aarch64/pymc-6.0.1-py312h56aec8e_0.tar.bz2","applicationCategory":"conda","runtimePlatform":"conda","developmentStatus":"active","sameAs":["https://anaconda.org/anaconda/pymc"],"funder":[{"@type":"Organization","url":"https://github.com/sponsors/numfocus"},{"@type":"Organization","url":"https://numfocus.org/donate-to-pymc"},{"@type":"Organization","url":"https://github.com/sponsors/pymc-devs"}],"https://www.w3.org/ns/activitystreams#likes":9721,"https://forgefed.org/ns#forks":2276}