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.

Version: 1.30.2
Depends: R (≥ 3.0.0)
Imports: boot, numbers, methods, ggplot2, Rcpp, foreach, dtwclust
LinkingTo: Rcpp, RcppArmadillo
Published: 2025年09月18日
Author: Bertrand Iooss [aut, cre], Sebastien Da Veiga [aut], Alexandre Janon [aut], Gilles Pujol [aut]
Maintainer: Bertrand Iooss <biooss at yahoo.fr>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS
In views: Environmetrics
CRAN checks: sensitivity results

Documentation:

Reference manual: sensitivity.html , sensitivity.pdf

Downloads:

Windows binaries: r-devel: sensitivity_1.30.2.zip, r-release: sensitivity_1.30.2.zip, r-oldrel: sensitivity_1.30.2.zip
macOS binaries: r-release (arm64): sensitivity_1.30.2.tgz, r-oldrel (arm64): sensitivity_1.30.2.tgz, r-release (x86_64): sensitivity_1.30.2.tgz, r-oldrel (x86_64): sensitivity_1.30.2.tgz

Reverse dependencies:

Reverse suggests: apsimx, BayesianTools, nvmix, r3PG, rsofun, tidyfit

Linking:

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