Salib. conda install linux64 v107 win32 v107 noarch v145 osx64 v107 win64 v107 To install this package with conda run one of the following conda install c condaforge salib.
SALib Sensitivity Analysis Library in Python¶ Python implementations of commonly used sensitivity analysis methods including Sobol Morris and FAST methods Useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest Supported Methods¶.
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Included MethodsQuick StartHow to Cite SalibProjects That Use SalibLicense Sobol Sensitivity Analysis (Sobol 2001Saltelli 2002Saltelli et al 2010)Method of Morris including groups and optimal trajectories (Morris1991Campolongo et al 2007Ruano et al 2012)extended Fourier Amplitude Sensitivity Test (eFAST) (Cukier et al 1973Saltelli et al 1999 Pujol (2006) in Iooss et al (2021)) Sobol Sensitivity Analysis (Sobol 2001Saltelli 2002Saltelli et al 2010)Method of Morris including groups and optimal trajectories (Morris1991Campolongo et al 2007Ruano et al 2012)extended Fourier Amplitude Sensitivity Test (eFAST) (Cukier et al 1973Saltelli et al 1999 Pujol (2006) in Iooss et al (2021))Random Balance Designs Fourier Amplitude Sensitivity Test (RBDFAST) (Tarantola et al 2006Plischke 2010Tissot et al 2012).
Sensitivity Analysis with SALib Keyboard Scientist
Sensitivity Analysis Library (SALib) Python implementations of commonly used sensitivity analysis methods Useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest Requirements NumPy SciPy matplotlib pandas Python 3 (from SALib v12 onwards SALib does not officially support Python 2).
GitHub SALib/SALib: Sensitivity Analysis Library in
SALib is a powerful toolbox for sensitivity analysis In this post we walked through an example using Sobol’ sensitivity analysis SALib includes other methods including the Fourier Amplitude Sensitivity Test (FAST) Method of Morris and DeltaMoment Independent Measure We also want to note that while SALib is a Python library it is designed to work with models in.
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