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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 GitHub
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26 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.14 148305 2022-12-09 18:12:28 0:00:34 47249 build successful
11 94383 2022-12-09 18:02:33 0:00:38 26152 build successful
10.15 121960 2022-12-09 17:57:24 0:00:42 36241 build successful
10.13 172447 2022-12-09 17:51:52 0:00:31 56482 build successful
10.11 202876 2022-12-09 17:51:43 0:00:37 65589 build successful
12 50625 2022-12-09 17:49:23 0:00:32 14933 build successful
10.8 112066 2022-12-09 17:49:23 0:00:29 35942 build successful
10.6 96275 2022-12-09 17:48:50 0:00:45 38124 build successful
10.6.x86_64 131209 2022-12-09 17:43:54 0:00:53 38154 build successful
10.12 209611 2022-12-09 17:41:07 0:00:35 64395 build successful
10.10 204612 2022-12-09 17:36:23 0:00:28 65471 build successful
10.7 122368 2022-12-09 17:35:55 0:00:28 37902 build successful
10.9 209978 2022-12-09 17:35:52 0:00:34 65163 build successful
11.arm64 76020 2022-12-09 17:13:59 0:00:11 26116 build successful
12.arm64 19036 2021-11-18 2:54:38 0:00:40 1249 build successful
10.15 52654 2021-03-26 2:46:37 0:02:13 13632 build successful
10.14 80933 2021-03-14 15:02:18 0:03:19 24624 build successful
11 23499 2021-03-14 14:03:05 0:03:31 3422 build successful
10.13 105178 2021-03-14 13:33:32 0:02:59 33929 build successful
10.9 140579 2021-03-14 11:55:25 0:01:37 42708 build successful
10.6.x86_64 50128 2021-03-14 11:33:22 0:01:51 15405 build successful
10.11 135517 2021-03-14 11:20:44 0:03:12 42972 build successful
10.12 140538 2021-03-14 10:28:13 0:02:16 41972 build successful
10.8 40181 2021-03-14 10:13:56 0:01:59 13297 build successful
10.7 46337 2021-03-14 10:07:53 0:02:14 15440 build successful
10.10 136965 2021-03-14 10:06:57 0:02:26 43033 build successful