sensobol: Computation of Variance-Based Sensitivity Indices

It allows to rapidly compute, bootstrap and plot up to third-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.

Version: 1.0.0
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 (≥ 0.7), 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: 2021-01-27
Author: Arnald Puy ORCID iD [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>
License: GPL-3
NeedsCompilation: yes
Citation: sensobol citation info
Materials: README NEWS
CRAN checks: sensobol results


Reference manual: sensobol.pdf
Vignettes: author2019mypaper
Package source: sensobol_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sensobol_1.0.0.tgz, r-oldrel: sensobol_1.0.0.tgz
Old sources: sensobol archive


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