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:	1.31.0
Depends:	R (≥ 3.0.0)
Imports:	boot, numbers, methods, ggplot2, Rcpp, foreach, dtwclust
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	car, condMVNorm, DiceDesign, DiceKriging, doParallel, evd, ggExtra, grid, gplots, gtools, igraph, IncDTW, ks, lattice, MASS, mc2d, mvtnorm, parallel, plotrix, pracma, proxy, randtoolbox, RANN, reshape2, rgl, stringr, triangle, TSP, viridisLite, whitening
Published:	2026-02-27
DOI:	10.32614/CRAN.package.sensitivity
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:

Package source:	sensitivity_1.31.0.tar.gz
Windows binaries:	r-devel: sensitivity_1.31.0.zip, r-release: sensitivity_1.31.0.zip, r-oldrel: sensitivity_1.31.0.zip
macOS binaries:	r-release (arm64): sensitivity_1.31.0.tgz, r-oldrel (arm64): sensitivity_1.31.0.tgz, r-release (x86_64): sensitivity_1.31.0.tgz, r-oldrel (x86_64): sensitivity_1.31.0.tgz
Old sources:	sensitivity archive

Reverse dependencies:

Reverse imports:	MLwrap, multisensi, nlrx, rrepast, Sobol4R
Reverse suggests:	apsimx, BayesianTools, nvmix, r3PG, rsofun, tidyfit

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sensitivity to link to this page.