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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 f5c9a30266 tests: tests for num_grad version of prior fits added.		2022-10-07 18:02:27 +01:00
.github/workflows	ci: examples workflow build fixed.	2022-09-29 08:58:19 +01:00
examples	docs: data management example refined.	2022-09-29 17:11:24 +01:00
pyerrors	fix: another bug in num_grad version of prior fit fixed.	2022-10-07 18:02:14 +01:00
tests	tests: tests for num_grad version of prior fits added.	2022-10-07 18:02:27 +01:00
.gitignore	build: extract version number in setup.py from version.py	2022-06-14 12:02:43 +01:00
CHANGELOG.md	build: version number bumped to 2.2.0	2022-08-01 17:10:29 +01:00
CITATION.cff	docs: CITATION.cff file added.	2022-10-03 11:09:24 +01:00
conftest.py	tests: conftest.py added	2022-01-20 13:56:56 +00:00
CONTRIBUTING.md	docs: examples workflow documented, badge added to README	2022-05-14 12:12:50 +01:00
LICENSE	Initial public release	2020-10-13 16:53:00 +02:00
pyproject.toml	build: pyproject.toml added.	2022-08-01 16:43:19 +01:00
README.md	docs: arXiv reference added.	2022-09-30 16:25:40 +01:00
setup.py	build: required autograd version increased to 1.5 in view of the upcoming python 3.11 release.	2022-09-29 08:52:36 +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 most recent release run

pip install pyerrors     # Fresh install
pip install -U pyerrors  # Upgrade

to install the current develop version run

pip install git+https://github.com/fjosw/pyerrors.git@develop