py313-emcee3 (python/py-emcee3) Updated: 1 week, 5 days ago Add to my watchlist

affine-invariant ensemble MCMC sampling

emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the astrophysics literature.

Version: 3.1.6 License: MIT GitHub
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25 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.11 286185 2025-01-29 22:03:32 0:01:44 95187 build successful
10.11 286185 2025-01-29 22:03:32 0:01:44 95187 build successful
10.14 228355 2025-01-29 21:54:00 0:02:49 76637 build successful
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10.12 296190 2025-01-29 21:25:11 0:01:06 93938 build successful
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10.13 254496 2025-01-29 21:24:32 0:01:28 86004 build successful
10.13 254496 2025-01-29 21:24:32 0:01:28 86004 build successful
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10.8 200558 2025-01-29 21:22:28 0:01:14 65488 build successful
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10.15 205333 2025-01-29 21:20:08 0:01:12 65701 build successful
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10.9 300444 2025-01-29 21:13:00 0:01:17 94695 build successful
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10.6 192750 2025-01-29 20:58:05 0:00:59 67739 failed install-dependencies
10.6 192750 2025-01-29 20:58:05 0:00:59 67739 failed install-dependencies
10.6.x86_64 228373 2025-01-29 20:49:35 0:00:39 67790 failed install-dependencies
10.6.x86_64 228373 2025-01-29 20:49:35 0:00:39 67790 failed install-dependencies
15 26274 2025-01-29 20:38:02 0:00:25 5927 build successful
12.arm64 145590 2025-01-29 20:35:30 0:00:21 44428 build successful