sensitivity: Global Sensitivity Analysis of Model Outputs

A collection of functions for factor screening, global sensitivity analysis and robustness analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.

Version: 1.22.1
Depends: R (≥ 3.0.0)
Imports: boot, numbers, methods, ggplot2, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: condMVNorm, DiceDesign, DiceKriging, evd, ggExtra, gplots, gtools, igraph, ks, MASS, mc2d, mvtnorm, parallel, pracma, randtoolbox, RANN, reshape2, rgl, triangle, TSP, whitening
Published: 2020-08-07
Author: Bertrand Iooss, Sebastien Da Veiga, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Thibault Delage, Reda El Amri, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Amandine Marrel, Anouar Meynaoui, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss at>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS
In views: Environmetrics
CRAN checks: sensitivity results


Reference manual: sensitivity.pdf
Package source: sensitivity_1.22.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sensitivity_1.22.1.tgz, r-oldrel: sensitivity_1.22.1.tgz
Old sources: sensitivity archive

Reverse dependencies:

Reverse depends: ATmet, mtk, ODEsensitivity
Reverse imports: LSDsensitivity, multisensi, nlrx, rrepast
Reverse suggests: BayesianTools, GNE, pse, r3PG


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