Package: sensitivity
Version: 1.31.0
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: 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
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
Packaged: 2026-07-03 14:21:53 UTC; root
Author: Bertrand Iooss [aut, cre], Sebastien Da Veiga [aut], Alexandre
        Janon [aut], Gilles Pujol [aut]
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://biooss.r-universe.dev
Date/Publication: 2026-02-27 18:00:02 UTC
RemoteUrl: https://github.com/cran/sensitivity
RemoteRef: HEAD
RemoteSha: cbf1377c9243c2fb5827a5ab2a47aa7163ad7b57