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.

Package details

AuthorBertrand Iooss [aut, cre], Sebastien Da Veiga [aut], Alexandre Janon [aut], Gilles Pujol [aut]
MaintainerBertrand Iooss <biooss@yahoo.fr>
LicenseGPL-2
Version1.30.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sensitivity")

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sensitivity documentation built on Sept. 11, 2024, 9:09 p.m.