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Pull Request #3

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Pull Request #3

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674f19c
First Commit
MishaSavchenko Apr 19, 2017
4d742fb
better graphs
MishaSavchenko May 9, 2017
9f50935
better graphs part 2
MishaSavchenko May 9, 2017
d2dcf2f
better graphs
MishaSavchenko May 10, 2017
b898892
expalnations for graphs
MishaSavchenko May 10, 2017
8b3eb53
pull request response
MishaSavchenko May 14, 2017
fb2346c
new test for acceptance fraction
MishaSavchenko May 17, 2017
76129d9
final draft?
MishaSavchenko May 20, 2017
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11 changes: 11 additions & 0 deletions .travis.yml
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language: python
python:
- "2.7"
- "3.4"
- "3.5"
- "3.6"

# command to install dependencies
#install: "pip install -r requirements.txt"
# command to run tests
script: py.test
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7 changes: 6 additions & 1 deletion README.md
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# MCMC-for-Brown-Dwarf-WISE-data
# MCMC for Brown Dwarf WISE data

Exercise in using Markov Chain Monte Carlo via the emcee module. The code is meant for the exploration of the MCMC algorithm in general, its advantages and limitations and as a lesson in building a functioning repository, working testing via travis CI.

### Referencing
line.py from http://dan.iel.fm/emcee/current/
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