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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 155c329921 fix: bug in error propagation for correlated fits fixed.		2022-06-06 15:47:41 +01:00
.github/workflows	ci: workflow for caching of binder build added.	2022-05-22 12:02:33 +01:00
examples	docs: check for latex availability added to examples.	2022-05-20 11:00:52 +01:00
pyerrors	fix: bug in error propagation for correlated fits fixed.	2022-06-06 15:47:41 +01:00
tests	tests: linear least_squares fit error estimation tested against jackknife resampling.	2022-06-06 15:11:03 +01:00
.gitignore	docs: Docstring for fits.least_square extended.	2022-05-31 11:51:59 +01:00
CHANGELOG.md	docs: CHANGELOG updated.	2022-05-30 10:33:30 +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
README.md	docs: example and docs badges removed from README	2022-05-22 11:19:13 +01:00
setup.py	build: scipy version 1 or greater required.	2022-06-01 15:03:55 +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