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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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17 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.14 148259 2022-12-09 17:12:20 0:00:13 47249 build successful
11 94337 2022-12-09 17:10:54 0:00:17 26152 build successful
10.15 121914 2022-12-09 17:08:16 0:00:15 36241 build successful
10.6 96229 2022-12-09 17:07:29 0:00:23 38124 build successful
10.11 202830 2022-12-09 17:07:00 0:00:21 65589 build successful
10.6.x86_64 131163 2022-12-09 17:06:38 0:00:17 38154 build successful
10.12 209565 2022-12-09 17:06:33 0:00:17 64395 build successful
12 50579 2022-12-09 17:06:18 0:00:16 14933 build successful
10.13 172401 2022-12-09 17:06:13 0:00:11 56482 build successful
10.9 209932 2022-12-09 17:06:08 0:00:14 65163 build successful
10.8 112020 2022-12-09 17:05:32 0:00:09 35942 build successful
10.10 204566 2022-12-09 17:04:54 0:00:12 65471 build successful
10.7 122322 2022-12-09 17:02:15 0:00:10 37902 build successful
11.arm64 75980 2022-12-09 16:56:12 0:00:05 26116 build successful
12.arm64 19037 2021-11-18 2:55:19 0:00:59 1249 build successful
11 14468 2021-01-14 2:29:12 0:03:16 1912 build successful
10.15 6851 2019-11-27 3:27:09 0:02:41 1019 build successful