Metadata-Version: 2.1
Name: mfa_ua
Version: 0.1.0
Summary: Uncertainty analysis tools for MFA
Home-page: https://github.com/yourusername/mfa_ua
Author: Nils Dittrich
Author-email: nils.dittrich@ntnu.no
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy<2.0.0,>=1.18.0
Requires-Dist: scipy<2.0.0,>=1.4.0
Requires-Dist: matplotlib<4.0.0,>=3.1.0
Requires-Dist: tqdm<5.0.0,>=4.41.0
Requires-Dist: sympy<2.0.0,>=1.5.0

# mfa_ua
Various tools related to uncertainty analysis in material flow analysis (MFA).
Some of the modules were specifically built for the NTNU course TEP4285, others come from research projects.

## current subpackages
- monte_carlo: designed for TEP4285, contains module for setting up parameters, sampling, and the monte carlo analysis
- parameter_estimation: fitting a lognormal distribution on lower and upper bounds and a mode, inversing lognormal into a right skewed distribution
- sensitivity_analysis: computing sensitivities for any fucntion using sympy; plotting sensitivity heatmaps
