CRAN/E | sensobol

sensobol

Computation of Variance-Based Sensitivity Indices

Installation

About

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.

Citation sensobol citation info
github.com/arnaldpuy/sensobol
Bug report File report

Key Metrics

Version 1.1.5
R ≥ 3.5.0
Published 2024-02-21 229 days ago
Needs compilation? yes
License GPL-3
CRAN checks sensobol results

Downloads

Yesterday 12 0%
Last 7 days 93 -33%
Last 30 days 440 -19%
Last 90 days 1.363 -8%
Last 365 days 5.853 +1%

Maintainer

Maintainer

Arnald Puy

Authors

Arnald Puy

aut / cre

Bertr
Ioos

ctb

(Author of included 'sensitivity' fragments)

Gilles Pujol

ctb

(Author of included 'sensitivity' fragments)

RStudio

cph

(Copyright holder of included 'sensitivity' fragments)

Material

README
NEWS
Reference manual
Package source

Vignettes

author2019mypaper

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sensobol archive

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

Suggests

knitr
rmarkdown
testthat ≥ 2.1.0
covr

LinkingTo

Rfast
Rcpp
RcppArmadillo