Package: sensobol 1.1.5

sensobol: Computation of Variance-Based Sensitivity Indices

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>.

Authors:Arnald Puy [aut, cre], Bertrand Ioos [ctb], Gilles Pujol [ctb], RStudio [cph]

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Bug tracker:https://github.com/arnaldpuy/sensobol/issues

On CRAN:

18 exports 14 stars 1.83 score 45 dependencies 42 scripts 491 downloads

Last updated 7 months agofrom:7e8826658e. Checks:OK: 7 NOTE: 2. Indexed: yes.

Exports:bratley1988_Funbratley1992_Fundiscrepancy_ersatzishigami_Funload_packagesmetafunctionoakley_Funplot_multiscatterplot_scatterplot_uncertaintysobol_convergencesobol_dummysobol_Funsobol_indicessobol_matricessobol_odevars_matricesvars_to

Dependencies:bootclicolorspacedata.tabledeSolvefansifarverggplot2gluegtableisobandlabelinglatticelhslifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnlmepillarpkgconfigR6randtoolboxrbibutilsRColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRdpackRfastrlangrngWELLscalesstringistringrtibbleutf8vctrsviridisLitewithr