Package: sensitivity
Version: 1.30.2
Title: Global Sensitivity Analysis of Model Outputs and Importance
        Measures
Authors@R: c(person(given = "Bertrand", family = "Iooss", role = c("aut", "cre"), email = "biooss@yahoo.fr"),
  person(given = c("Sebastien"), family = "Da Veiga", role = "aut"),
  person(given = "Alexandre", family = "Janon", role = "aut"),
  person(given = "Gilles", family = "Pujol", role = "aut"))
Maintainer: Bertrand Iooss <biooss@yahoo.fr>
Depends: R (>= 3.0.0)
Imports: boot, numbers, methods, ggplot2, Rcpp, foreach, dtwclust
LinkingTo: Rcpp, RcppArmadillo
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
Description: 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.
License: GPL-2
NeedsCompilation: yes
Repository: CRAN
Packaged: 2025-09-17 16:38:38 UTC; F80570
Author: Bertrand Iooss [aut, cre],
  Sebastien Da Veiga [aut],
  Alexandre Janon [aut],
  Gilles Pujol [aut]
Date/Publication: 2025-09-18 05:10:11 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-07 03:38:19 UTC; windows
Archs: x64
