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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: | 1.1.5 |
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: | 2024-02-21 |
DOI: | 10.32614/CRAN.package.sensobol |
Author: | Arnald Puy |
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 results |
Reference manual: | sensobol.pdf |
Vignettes: |
author2019mypaper |
Package source: | sensobol_1.1.5.tar.gz |
Windows binaries: | r-devel: sensobol_1.1.5.zip, r-release: sensobol_1.1.5.zip, r-oldrel: sensobol_1.1.5.zip |
macOS binaries: | r-release (arm64): sensobol_1.1.5.tgz, r-oldrel (arm64): sensobol_1.1.5.tgz, r-release (x86_64): sensobol_1.1.5.tgz, r-oldrel (x86_64): sensobol_1.1.5.tgz |
Old sources: | sensobol archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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