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>.
Version: 1.1.6 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 Published: 2025-07-24 DOI: 10.32614/CRAN.package.sensobol Author: Arnald Puy [aut, cre], Bertrand Ioos [ctb] (Author of included 'sensitivity' fragments), Gilles Pujol [ctb] (Author of included 'sensitivity' fragments), RStudio [cph] (Copyright holder of included 'sensitivity' fragments) Maintainer: Arnald Puy <arnald.puy at pm.me> BugReports: https://github.com/arnaldpuy/sensobol/issues License: GPL-3 URL: https://github.com/arnaldpuy/sensobol NeedsCompilation: yes Citation: sensobol citation info Materials: README, NEWS CRAN checks: sensobol resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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