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sensobol  

Computation of Variance-Based Sensitivity Indices
View on CRAN: Click here


Download and install sensobol package within the R console
Install from CRAN:
install.packages("sensobol")

Install from Github:
library("remotes")
install_github("cran/sensobol")

Install by package version:
library("remotes")
install_version("sensobol", "1.2.0")



Attach the package and use:
library("sensobol")
Maintained by
Arnald Puy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-06
Latest Update: 2025-07-24
Description:
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) .
How to cite:
Arnald Puy (2019). sensobol: Computation of Variance-Based Sensitivity Indices. R package version 1.2.0, https://cran.r-project.org/web/packages/sensobol. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-17 09:30), 0.1.0 (2019-03-06 14:10), 0.1.1 (2019-03-12 15:40), 0.2.0 (2019-04-30 18:30), 0.2.1 (2019-09-20 15:50), 0.2.2 (2020-02-25 20:50), 1.0.0 (2021-01-27 01:30), 1.0.1 (2021-04-08 23:40), 1.0.2 (2021-05-30 10:10), 1.0.3 (2021-07-24 16:30), 1.1.0 (2021-12-09 14:40), 1.1.1 (2022-04-26 13:30), 1.1.2 (2022-11-16 13:20), 1.1.3 (2022-11-25 14:10), 1.1.4 (2023-04-06 13:40), 1.1.5 (2024-02-21 14:40), 1.1.6 (2025-07-24 10:50), 1.1.8 (2026-04-05 14:40), 1.1.9 (2026-04-30 07:10)
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