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Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd

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Fabian Joswig bf20274b67 Merge pull request #34 from fjosw/feature/json_corr_Nd Feature/json corr nd		2022-01-18 12:59:37 +00:00
.github/workflows	refactor!: minimal python version bumped to 3.7	2022-01-10 15:28:27 +01:00
examples	feat: example 3 improved	2022-01-06 18:02:04 +01:00
pyerrors	feat: json import export for correlator class implemented, tests added	2022-01-18 12:13:20 +00:00
tests	fix: bug in covariance test corrected	2022-01-18 12:13:44 +00:00
.gitignore	fix: instances of plot.show changed to plot.draw in fit module	2021-12-07 08:27:24 +00:00
CHANGELOG.md	docs: Changelog updated	2021-11-30 14:52:25 +00:00
conftest.py	Initial public release	2020-10-13 16:53:00 +02:00
CONTRIBUTING.md	ci: E722 removed from flake8 exceptions.	2021-12-13 14:48:56 +00:00
LICENSE	Initial public release	2020-10-13 16:53:00 +02:00
pytest.ini	Initial public release	2020-10-13 16:53:00 +02:00
README.md	refactor!: minimal python version bumped to 3.7	2022-01-10 15:28:27 +01:00
setup.py	refactor: required python version changed back to 3.6 for transition	2022-01-11 16:41:28 +01:00

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