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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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17 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.14 148283 2022-12-09 17:44:57 0:00:33 47249 build successful
11 94361 2022-12-09 17:38:03 0:00:43 26152 build successful
10.15 121938 2022-12-09 17:34:35 0:00:39 36241 build successful
10.11 202854 2022-12-09 17:31:08 0:00:38 65589 build successful
10.13 172425 2022-12-09 17:30:48 0:00:32 56482 build successful
12 50603 2022-12-09 17:30:02 0:00:38 14933 build successful
10.6 96253 2022-12-09 17:29:38 0:00:38 38124 failed install-dependencies
10.8 112044 2022-12-09 17:29:02 0:00:36 35942 build successful
10.6.x86_64 131187 2022-12-09 17:26:27 0:00:38 38154 build successful
10.12 209589 2022-12-09 17:25:12 0:00:33 64395 build successful
10.9 209956 2022-12-09 17:22:14 0:00:31 65163 build successful
10.10 204590 2022-12-09 17:21:47 0:00:34 65471 build successful
10.7 122346 2022-12-09 17:21:32 0:00:35 37902 build successful
11.arm64 75998 2022-12-09 17:08:07 0:00:12 26116 build successful
12.arm64 19069 2021-11-18 3:15:19 0:00:35 1249 build successful
11 14537 2021-01-14 6:29:07 0:03:13 1912 build successful
10.15 6850 2019-11-27 3:24:13 0:02:51 1019 build successful