Software Open Access
sensobol: Computation of High-Order Sobol' Sensitivity Indices
Arnald Puy
sensobol
The goal of sensobol is to provide a set of functions to swiftly compute and visualize up to third-order Sobol' sensitivity indices. The functions allow to:
- Create the sample matrices for the model evaluation.
- Compute and bootstrap up to third-order effects.
- Assess the approximation error of Sobol' indices.
- Plot the model uncertainty and the Sobol' indices.
Installation
You can install the released version of sensobol as follows:
install.packages("devtools") # if you have not installed devtools package already
devtools::install_github("arnaldpuy/sensobol", build_vignettes = TRUE)
Example
This brief example shows how to compute Sobol' indices. For a more detailed explanation of the package functions, check the vignette.
## Create sample matrix
A <- sobol_matrices(n = 1000,
k = 3,
second = TRUE)
## Compute the model output (using the Ishigami test function):
Y <- ishigami_Mapply(A)
## Compute the Sobol' indices:
sens <- sobol_indices(Y = Y,
params = colnames(data.frame(A)),
R = 100,
n = 1000,
second = TRUE)
Files
(58.5 kB)
| Name | Size | |
|---|---|---|
|
arnaldpuy/sensobol-v1.0.0.zip
md5:17997c48f16d92e39fce79e8d18d34d3 |
58.5 kB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 123 | 84 |
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| Unique views | 113 | 78 |
| Unique downloads | 8 | 3 |
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- Publication date:
- February 28, 2019
- DOI:
-
- Grants:
-
European Commission:
- SIZE - The role of size in the sustainability of irrigation systems (792178)
- Related identifiers:
- Supplement to
- License (for files):
- GNU General Public License v3.0 or later