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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 00d859cf06 feat: import_jackknife implemented		2021-11-17 16:06:26 +00:00
.github/workflows	docs workflow corrected	2021-11-07 20:52:17 +00:00
examples	Examples updated, minor bug fixes	2021-10-11 18:31:02 +01:00
pyerrors	feat: import_jackknife implemented	2021-11-17 16:06:26 +00:00
tests	feat: import_jackknife implemented	2021-11-17 16:06:26 +00:00
.gitignore	Benchmarks added	2021-10-26 10:20:47 +01:00
CHANGELOG.md	fits fit_exp removed	2021-10-21 11:53:50 +01:00
conftest.py	Initial public release	2020-10-13 16:53:00 +02:00
CONTRIBUTING.md	docs: mainpage extended	2021-11-16 11:45:16 +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	README updated	2021-11-09 12:08:50 +00:00
setup.py	pyerrors.py renamed to obs.py, h5py added as dependency	2021-11-07 11:24:56 +00:00

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

There exist similar publicly available implementations of gamma method error analysis suites in