py311-emcee3 (python/py-emcee3) Updated: 6 months, 3 weeks 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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13 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.6 171370 2024-06-19 21:10:06 0:00:34 60063 failed install-dependencies
10.6.x86_64 207023 2024-06-19 20:55:25 0:00:43 60107 build successful
10.14 212319 2024-06-19 20:05:19 0:01:13 69086 build successful
10.12 278538 2024-06-19 19:51:35 0:00:41 86289 build successful
10.13 238118 2024-06-19 19:46:02 0:00:33 78415 build successful
10.8 182513 2024-06-19 19:42:25 0:00:34 57876 build successful
10.9 281986 2024-06-19 19:39:29 0:00:30 87082 build successful
10.7 195866 2024-06-19 19:31:53 0:00:35 59823 build successful
10.10 274846 2024-06-19 19:31:53 0:00:33 87411 build successful
12.arm64 131148 2024-06-19 19:09:25 0:00:12 36848 build successful
13.arm64 10595 2023-03-08 1:27:28 0:00:24 4114 build successful
10.6 108303 2023-02-05 3:30:08 0:00:33 40750 failed install-dependencies
10.6.x86_64 143003 2023-02-05 3:25:11 0:01:18 40782 build successful