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: |
1.1.1 |
| 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: |
2022-04-26 |
| 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 results |