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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 c88ef3dea2
Merge pull request #126 from fjosw/fix/gapped_irregular_dtauint 
Fix: gapped irregular dtauint
2022-10-19 13:09:28 +01:00
.github/workflows ci: fail fast strategy for pytest workflow changed to false. 2022-10-19 13:03:23 +01:00
examples docs: data management example refined. 2022-09-29 17:11:24 +01:00
pyerrors fix: dtauint fixed for irregular gapped chains. 2022-10-19 11:58:02 +01:00
tests tests: test for gapped irregular dtauint added. 2022-10-19 12:04:49 +01:00
.gitignore build: extract version number in setup.py from version.py 2022-06-14 12:02:43 +01:00
CHANGELOG.md docs: CHANGELOG and CITATION file updated. 2022-10-13 12:08:54 +01:00
CITATION.cff docs: CHANGELOG and CITATION file updated. 2022-10-13 12:08:54 +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: build requirements updated to latest version compatible with 2022-10-19 12:57:44 +01:00

README.md

flake8 pytest License: MIT arXiv

pyerrors

pyerrors is a python package for error computation and propagation of Markov chain Monte Carlo data.

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