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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: 2.2.1 License: MIT
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27 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.14 148294 2022-12-09 17:56:32 0:00:34 47249 build successful
11 94372 2022-12-09 17:49:41 0:00:45 26152 build successful
10.15 121949 2022-12-09 17:44:12 0:00:56 36241 build successful
10.11 202865 2022-12-09 17:40:38 0:00:38 65589 build successful
10.13 172436 2022-12-09 17:40:05 0:00:45 56482 build successful
10.6 96264 2022-12-09 17:39:07 0:00:51 38124 build successful
10.8 112055 2022-12-09 17:38:45 0:00:33 35942 build successful
12 50614 2022-12-09 17:38:21 0:00:53 14933 build successful
10.6.x86_64 131198 2022-12-09 17:34:51 0:00:51 38154 build successful
10.12 209600 2022-12-09 17:32:10 0:00:35 64395 build successful
10.10 204601 2022-12-09 17:28:56 0:00:38 65471 build successful
10.9 209967 2022-12-09 17:28:32 0:00:46 65163 build successful
10.7 122357 2022-12-09 17:28:21 0:00:35 37902 build successful
11.arm64 76009 2022-12-09 17:10:56 0:00:13 26116 build successful
12.arm64 19076 2021-11-18 3:19:34 0:00:38 1249 build successful
11 14467 2021-01-14 2:25:33 0:03:36 1912 build successful
10.6.x86_64 44915 2021-01-13 8:47:26 0:01:54 13925 build successful
10.12 120357 2020-06-29 19:34:15 0:02:14 33130 build successful
10.7 23537 2020-06-23 6:44:57 0:01:41 6567 build successful
10.8 16263 2020-06-15 6:11:36 0:01:52 4433 build successful
10.10 116303 2020-06-13 8:18:06 0:01:41 34191 build successful
10.15 30540 2020-05-14 13:24:10 0:03:12 5359 build successful
10.14 59772 2020-05-14 13:16:19 0:02:45 15812 build successful
10.13 83890 2020-05-14 13:16:08 0:02:41 25087 build successful
10.11 113977 2020-05-14 13:09:17 0:02:34 34127 build successful
10.9 118991 2020-05-14 13:00:06 0:02:49 34137 build successful
10.6.x86_64 26351 2020-05-14 12:59:54 0:01:17 6567 failed install-dependencies