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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
autocorrelationautogradautomatic-differentiationcondensed-mattercorrelationdata-analysiserror-propagationlattice-field-theorylattice-qcdmarkov-chainmonte-carloparticle-physicsphysicspythonqcdstatistical-analysisstatistical-mechanics
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.github/workflows | ||
examples | ||
pyerrors | ||
tests | ||
.gitignore | ||
CHANGELOG.md | ||
conftest.py | ||
CONTRIBUTING.md | ||
LICENSE | ||
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