Computation of Variance-Based Sensitivity Indices R package sensobol version 1.2.0 It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>. Software Depends: R (>= 3.5.0) Imports: boot (>= 1.3.20), data.table (>= 1.12.0), ggplot2 (>= 3.1.0), lhs (>= 1.0.2), magrittr (>= 1.5), matrixStats (>= 0.54.0), randtoolbox (>= 1.17.1), deSolve (>= 1.27.1), Rdpack (>= 2.1.2), Rfast (>= 2.0.1), rlang (>= 0.3.1), scales (>= 1.0.0), stats, stringr (>= 1.4.0), utils, Rcpp LinkingTo: Rfast, Rcpp, RcppArmadillo, Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr Arnald Puy <arnald.puy@pm.me> Comprehensive R Archive Network (CRAN) Arnald Puy [aut, cre] (ORCID: <https://orcid.org/0000-0001-9469-2156>), Bertrand Ioos [ctb] (Author of included 'sensitivity' fragments), Gilles Pujol [ctb] (Author of included 'sensitivity' fragments), RStudio [cph] (Copyright holder of included 'sensitivity' fragments) GPL-3 2026-07-17 application/tgz https://CRAN.R-project.org/package=sensobol doi:10.32614/CRAN.package.sensobol