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.
- Version1.30.1
- R version≥ 3.0.0
- LicenseGPL-2
- Needs compilation?Yes
- Last release08/28/2024
Documentation
Team
Bertrand Iooss
Sebastien Da Veiga
Show author detailsRolesAuthorAlexandre Janon
Show author detailsRolesAuthorGilles Pujol
Show author detailsRolesAuthor
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- Depends1 package
- Imports7 packages
- Suggests29 packages
- Linking To2 packages
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