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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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Simon Kuberski 78ab077eb8 Use rapidjson instead of json for I/O
2022-05-09 12:51:58 +02:00
.github/workflows docs: latex in docstring of covariance fixed 2022-03-02 12:29:26 +00:00
examples examples: Example 06 updated to work with new default options for GEVP 2022-05-03 10:44:03 +01:00
pyerrors Use rapidjson instead of json for I/O 2022-05-09 12:51:58 +02:00
tests Merge pull request #97 from s-kuberski/feature/dobs 2022-05-03 09:26:27 +01:00
.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, CHANGELOG updated. 2022-03-31 11:25:37 +01:00
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 build: autograd dependency updated to newest release. 2022-05-03 10:23:49 +01:00

README.md

flake8 pytest docs License: MIT

pyerrors

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

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