https://github.com/johannesbuchner/apemost
Automated Parameter Estimation and Model Selection Toolkit -- A fast MCMC implementation for Bayesian inference
https://github.com/johannesbuchner/apemost
Last synced: 7 months ago
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Automated Parameter Estimation and Model Selection Toolkit -- A fast MCMC implementation for Bayesian inference
- Host: GitHub
- URL: https://github.com/johannesbuchner/apemost
- Owner: JohannesBuchner
- License: other
- Created: 2011-06-06T00:01:21.000Z (over 14 years ago)
- Default Branch: master
- Last Pushed: 2012-02-25T13:10:20.000Z (over 13 years ago)
- Last Synced: 2025-01-23T20:52:14.734Z (9 months ago)
- Language: C
- Homepage: http://apemost.sf.net/
- Size: 1.2 MB
- Stars: 3
- Watchers: 3
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- License: COPYING
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README
APEMoST source
==============================
Find the documentation online on `our website `_
Generating the documentation
-----------------------------
You need doxygen and (python-)sphinx installed.
Just run::
make doc
Then point your web browser to the file doc/_build/website/index.html
Building and installing
-----------------------------
The user manual, including the installation process is in
doc/manual.rst