Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
VARS-TOOL sensitivity analysis package in Python
Open access PBPK modelling platform
snakemake workflow for performing a global sensitivity analysis of an OSeMOSYS model
SoBioS is an easy-to-run Matlab code to compute Sobol' indices for biological systems.
Tools for efficient global sensitivity analyses for models with correlated input parameters.
A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
Global sensitivity analysis demo
Resources and extra documentation for the manuscript "A Global Sensitivity-based Identification of Key Factors on Stability of Power Grid with Multi-outfeed HVDC" published in IEEE Latin America Transactions.
A workflow developed to tackle the challenge of building and analyzing biochemical pathway models, combining pre-existing tools and custom-made software.
A pure julia implementation of the VARS global sensitivity analysis method
A source code for the paper titled "Trajectory-based Global Sensitivity Analysis in Multiscale Models".
Uncertainty propagation and global sensitivity analysis for computational economic models
R code and data required for whaler shark (Carcharhinus brachyurus) harvest model
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA
Sensitivity Analysis for Fractional-Order Constitutive Models
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