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)
Suggests:
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:
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>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=sensitivity
to link to this page.