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sensitivity - Global Sensitivity Analysis of Model Outputs and Importance Measures
A collection of functions for sensitivity analysis of model outputs (factor screening, global sensitivity analysis and robustness analysis), for variable importance measures of data, as well as for interpretability of machine learning models. Most of the functions have to be applied on scalar output, but several functions support multi-dimensional outputs.
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cpp
7.73 score 18 stars 15 dependents 1.1k scripts 3.1k downloadsmistral - Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and quantile from model/function outputs).
Last updated
cpp
2.87 score 1 stars 37 scripts 605 downloads