calibr8

calibr8 is a Python toolbox for likelihood-based calibration modeling and Bayesian inference. It supports uni- and multivariate problems, continuous & discrete distributions and includes ready to use models for many non-linear problems. It integrates with PyMC for advanced Bayesian inference.

4
mentions
2
contributors

What calibr8 can do for you

calibr8 helps you to easily make sense of your non-linear calibration problem without deep-diving into error propagation.

It enables you to model non-linear trends and observation noise in your calibration dataset at the same time, and correctly accounts for both when performing inference from new data.

For a quick introduction start here: https://calibr8.readthedocs.io

And for a thorough understanding here: https://doi.org/10.1371/journal.pcbi.1009223

Keywords
No keywords avaliable
Programming languages
  • Jupyter Notebook 97%
  • Python 3%
License
  • AGPL-3.0-or-later
</>Source code
Packages
pypi.org

Participating organisations

Forschungszentrum Jülich

Mentions

Contributors

LH
Laura Marie Helleckes
Developer
Forschungszentrum Jülich GmbH
MO
Michael Osthege
Developer
Forschungszentrum Jülich GmbH