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LinFit

Linear regression with MCMC (under test)

https://github.com/jyshangguan/LinFit

Science Score: 10.0%

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    Low similarity (5.1%) to scientific vocabulary

Keywords

fitting-algorithm mcmc python
Last synced: 6 months ago · JSON representation

Repository

Linear regression with MCMC (under test)

Basic Info
  • Host: GitHub
  • Owner: jyshangguan
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 125 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Topics
fitting-algorithm mcmc python
Created about 9 years ago · Last pushed almost 9 years ago
Metadata Files
Readme License

README.md

linfit (under test)

The linfit package is to perform the linear regression including the intrinsic scatter with the Markov chain Monte Carlo method. The emcee package is used to run the MCMC sampling.

Examples

There are two sets of data for the test fit. Please run the example.py to see how to use linfit. The input parameters of data with all the detections could be well recovered by linfit, while when there are some upperlimits, the parameters may be biased, though the best fit is close to the input values.

Owner

  • Name: Shangguan Jinyi
  • Login: jyshangguan
  • Kind: user
  • Location: Garching, Germany
  • Company: Max-Planck Institute for Extraterrestrial Physics

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shangguan s****n@p****n 24
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Last synced: 9 months ago

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  • vkudak (1)
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Dependencies

setup.py pypi
  • numpy *