sensobol: Computation of High-Order Sobol' Sensitivity Indices

It allows to rapidly compute, bootstrap and plot up to third-order Sobol' indices using the estimators by Saltelli et al. 2010 <doi:10.1016/j.cpc.2009.09.018> and Jansen 1999 <doi:10.1016/S0010-4655(98)00154-4>. The 'sensobol' package also implements the algorithm by Khorashadi Zadeh et al. 2017 <doi:10.1016/j.envsoft.2017.02.001> to calculate the approximation error in the computation of Sobol' first and total indices, an approach that allows to robustly screen influential from non-influential model inputs. Finally, it also provides functions to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis.

Version:	0.2.2
Depends:	R (≥ 3.4.0)
Imports:	boot (≥ 1.3.20), data.table (≥ 1.12.0), ggplot2 (≥ 3.1.0), magrittr (≥ 1.5), matrixStats (≥ 0.54.0), randtoolbox (≥ 1.17.1), Rdpack (≥ 0.7), rlang (≥ 0.3.1), scales (≥ 1.0.0), stats, stringr (≥ 1.4.0), utils
Suggests:	knitr, rmarkdown, testthat, covr
Published:	2020-02-25
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 gmail.com>
BugReports:	http://github.com/arnaldpuy/sensobol/issues
License:	GPL-3
URL:	http://github.com/arnaldpuy/sensobol
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	sensobol results

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