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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
autocorrelation
autograd
automatic-differentiation
condensed-matter
correlation
data-analysis
error-propagation
lattice-field-theory
lattice-qcd
markov-chain
monte-carlo
particle-physics
physics
python
qcd
statistical-analysis
statistical-mechanics
| .github/workflows | ||
| docs | ||
| examples | ||
| pyerrors | ||
| tests | ||
| .gitignore | ||
| CHANGELOG.md | ||
| conftest.py | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| pytest.ini | ||
| README.md | ||
| setup.py | ||
pyerrors
pyerrors is a python package for error computation and propagation of Markov chain Monte Carlo data.
- Documentation: https://fjosw.github.io/pyerrors/pyerrors.html
- Examples: https://github.com/fjosw/pyerrors/tree/develop/examples
- Contributing: https://github.com/fjosw/pyerrors/blob/develop/CONTRIBUTING.md
- Bug reports: https://github.com/fjosw/pyerrors/issues
Installation
To install the current develop version run
pip install git+https://github.com/fjosw/pyerrors.git@develop
to install the most recent release run
pip install git+https://github.com/fjosw/pyerrors.git@master
Other implementations
There exist similar publicly available implementations of gamma method error analysis suites in