Toolbox for non-linear calibration modeling.
Project description
calibr8
This package provides templates and functions for performing likelihood-based calibration modeling. To see implementation examples & excercises, you can go to notebooks/.
Installation
calibr8 is released on PyPI:
pip install calibr8
Documentation
Read the package documentation here.
Usage and Citing
calibr8 is licensed under the GNU Affero General Public License v3.0.
Head over to Zenodo to generate a BibTeX citation for the latest release.
Please cite the paper as:
Helleckes & Osthege et al. (2021). Bayesian calibration, process modeling and uncertainty quantification in biotechnology. bioRxiv. https://doi.org/10.1101/2021.06.30.450546
@article {calibr8,
author = {Helleckes, Laura Marie and Osthege, Michael and Wiechert, Wolfgang and von Lieres, Eric and Oldiges, Marco},
title = {Bayesian calibration, process modeling and uncertainty quantification in biotechnology},
elocation-id = {2021.06.30.450546},
year = {2021},
doi = {10.1101/2021.06.30.450546},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2021/07/03/2021.06.30.450546},
eprint = {https://www.biorxiv.org/content/early/2021/07/03/2021.06.30.450546.full.pdf},
journal = {bioRxiv}
}
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