Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
Find a file
2023-03-13 16:34:26 +00:00
.github build: bug report default title changed again. 2023-03-11 21:38:29 +00:00
data/sfcf_test/data_o merge with develop 2022-02-08 11:16:20 +01:00
docs Documentation updated 2023-03-13 16:26:58 +00:00
examples Merge branch 'develop' into documentation 2023-03-09 14:26:18 +00:00
pyerrors docs: image resized. 2023-03-13 16:34:01 +00:00
tests Merge branch 'develop' into documentation 2023-03-10 14:17:41 +00:00
.gitignore build: extract version number in setup.py from version.py 2022-06-14 12:02:43 +01:00
CHANGELOG.md docs: CHANGELOG updated. 2023-02-07 13:07:48 +00:00
CITATION.cff docs: CHANGELOG and CITATION file updated. 2022-10-13 12:08:54 +01:00
conftest.py Initial public release 2020-10-13 16:53:00 +02:00
CONTRIBUTING.md docs: CONTRIBUTING.md extended. 2023-03-10 14:37:50 +00:00
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
pytest.ini Initial public release 2020-10-13 16:53:00 +02:00
README.md docs: moved installation info for develop branch to documentation. 2023-03-13 13:30:43 +00:00
setup.py build: minimal numpy version bumped to 1.21 as 1.20 runs out of support 2023-01-23 16:23:09 +00:00

flake8 pytest License: MIT arXiv

pyerrors

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

Installation

Install the most recent release using pip and pypi:

pip install pyerrors     # Fresh install
pip install -U pyerrors  # Update

Install the most recent release using conda and conda-forge:

conda install -c conda-forge pyerrors  # Fresh install
conda update -c conda-forge pyerrors   # Update

Contributing

We appreciate all contributions to the code, the documentation and the examples. If you want to get involved please have a look at our contribution guideline.