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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 2a02020a71 fix: Increased the precision at which two observables are considered to be equal.		2022-03-21 16:45:37 +00:00
.github/workflows	docs: latex in docstring of covariance fixed	2022-03-02 12:29:26 +00:00
examples	Adapted json_schema	2022-02-22 09:31:01 +01:00
pyerrors	fix: Increased the precision at which two observables are considered to	2022-03-21 16:45:37 +00:00
tests	feat: correlated_fit now throws an exception when the correlation matrix	2022-03-09 12:24:52 +00:00
.gitignore	fix: instances of plot.show changed to plot.draw in fit module	2021-12-07 08:27:24 +00:00
CHANGELOG.md	Version number bumped to 2.0.0-rc.2, changelog updated.	2022-03-03 12:06:21 +00:00
conftest.py	tests: conftest.py added	2022-01-20 13:56:56 +00:00
CONTRIBUTING.md	docs: latex in docstring of covariance fixed	2022-03-02 12:29:26 +00:00
LICENSE	Initial public release	2020-10-13 16:53:00 +02:00
README.md	refactor!: minimal python version bumped to 3.7	2022-01-10 15:28:27 +01:00
setup.py	Version number bumped to 2.0.0-rc.3+dev	2022-03-03 12:07:35 +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