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

autocorrelation autograd automatic-differentiation condensed-matter correlation data-analysis error-propagation lattice-field-theory lattice-qcd markov-chain monte-carlo particle-physics physics python qcd statistical-analysis statistical-mechanics

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Fabian Joswig dc7033e51f refactor: _standard_fit method made redundant. (#154 ) * refactor: _standard_fit method made redundant. * fix: xs and yz in Corr.fit promoted to arrays. * fix: x promoted to array in _combined_fit if input is just a list. * feat: residual_plot and qqplot now work with combined fits with dictionary inputs. * tests: test for combined fit resplot and qqplot added. * docs: docstring of fits.residual_plot extended.		2023-03-01 10:00:35 +00:00
.github	ci: flake8 workflow made more strict again (and CONTRIBUTING.md updated.)	2023-02-26 19:08:47 +00:00
examples	Merge pull request #134 from PiaLJP/develop	2023-02-02 15:09:11 +00:00
pyerrors	refactor: _standard_fit method made redundant. (#154 )	2023-03-01 10:00:35 +00:00
tests	refactor: _standard_fit method made redundant. (#154 )	2023-03-01 10:00:35 +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	tests: conftest.py added	2022-01-20 13:56:56 +00:00
CONTRIBUTING.md	ci: flake8 workflow made more strict again (and CONTRIBUTING.md updated.)	2023-02-26 19:08:47 +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
README.md	docs: pypi link added to README	2022-11-16 10:38:18 +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

README.md

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 (via pypi) 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