| Sensitivity Analysis | sensitivity-package sensitivity |
| Addelman and Kempthorne construction | addelman_const |
| Correlation Ratio | correlRatio |
| Decoupling Simulations and Estimations | ask decoupling extract tell |
| Distributed Evaluation of Local Sensitivity Analysis | delsa plot.delsa print.delsa tell.delsa |
| Discrepancy measure | discrepancyCriteria_cplus |
| Non-parametric variable significance test based on the empirical process | EPtest |
| Extended Fourier Amplitude Sensitivity Test | fast99 plot.fast99 print.fast99 tell.fast99 |
| Johnson indices | ggplot.johnson johnson plot.johnson print.johnson |
| Johnson-Shapley indices | ggplot.johnsonshap johnsonshap plot.johnsonshap print.johnsonshap |
| LMG R-squared decomposition for linear and logistic regression models | lmg plot.lmg print.lmg |
| Maximin criterion | maximin_cplus |
| Morris's Elementary Effects Screening Method | morris plot.morris plot3d.morris print.morris tell.morris |
| Morris's Elementary Effects Screening Method for Multidimensional Outputs | morrisMultOut tell.morrisMultOut |
| Generate parameter sets | parameterSets |
| Partial Correlation Coefficients | ggplot.pcc pcc plot.pcc print.pcc |
| Perturbed-Law based sensitivity Indices (PLI) for failure probability | PLI |
| Perturbed-Law based sensitivity Indices (PLI) for quantile | PLIquantile |
| Perturbed-Law based sensitivity Indices (PLI) for quantile and simultaneous perturbations of 2 inputs | PLIquantile_multivar |
| Perturbed-Law based sensitivity Indices (PLI) for superquantile | PLIsuperquantile |
| Perturbed-Law based sensitivity Indices (PLI) for superquantile and simultaneous perturbations of 2 inputs | PLIsuperquantile_multivar |
| Support index functions: Measuring the effect of input variables over their support | plot plot.support scatterplot scatterplot.support |
| Data-given proportional marginal effects estimation via nearest-neighbors procedure | ggplot.pme_knn plot.pme_knn pme_knn print.pme_knn tell.pme_knn |
| Proportional Marginal Variance Decomposition indices for linear and logistic models | plot.pmvd pmvd print.pmvd |
| Squared coefficients computation in generalized chaos | PoincareChaosSqCoef |
| Poincare constants for Derivative-based Global Sensitivity Measures (DGSM) | PoincareConstant |
| Optimal Poincare constants for Derivative-based Global Sensitivity Measures (DGSM) | PoincareOptimal |
| Quantile-oriented sensitivity analysis | ggplot.qosa plot.qosa print.qosa qosa tell.qosa |
| Sequential Bifurcations | ask.sb plot.sb print.sb sb tell.sb |
| Sensitivity Indices based on Csiszar f-divergence | ggplot.sensiFdiv plot.sensiFdiv print.sensiFdiv sensiFdiv tell.sensiFdiv |
| Sensitivity Indices based on the Hilbert-Schmidt Independence Criterion (HSIC) | plot.sensiHSIC print.sensiHSIC sensiHSIC tell.sensiHSIC |
| Computation of the Shapley effects in the Gaussian linear framework with an unknown block-diagonal covariance matrix | shapleyBlockEstimation shapleyBlockEstimationS shapleyBlockEstimationX |
| Computation of the Shapley effects in the linear Gaussian framework | shapleyLinearGaussian |
| Estimation of Shapley effects by examining all permutations of inputs (Agorithm of Song et al, 2016), in cases of independent or dependent inputs | ggplot.shapleyPermEx plot.shapleyPermEx print.shapleyPermEx shapleyPermEx tell.shapleyPermEx |
| Estimation of Shapley effects by random permutations of inputs (Agorithm of Song et al, 2016), in cases of independent or dependent inputs | ggplot.shapleyPermRand plot.shapleyPermRand print.shapleyPermRand shapleyPermRand tell.shapleyPermRand |
| Data given Shapley effects estimation via nearest-neighbors procedure | extract.shapleysobol_knn ggplot.shapleysobol_knn plot.shapleysobol_knn plot.sobol_knn print.shapleysobol_knn print.sobol_knn shapleysobol_knn tell.shapleysobol_knn |
| Estimation of Shapley effects from data using nearest neighbors method | plot.shapleySubsetMc shapleySubsetMc |
| Monte Carlo Estimation of Sobol' Indices | ggplot.sobol plot.sobol plotMultOut.sobol print.sobol sobol tell.sobol |
| Monte Carlo Estimation of Sobol' Indices (scheme by Saltelli 2002) | ggplot.sobol2002 plot.sobol2002 plotMultOut.sobol2002 print.sobol2002 sobol2002 tell.sobol2002 |
| Monte Carlo Estimation of Sobol' Indices (improved formulas of Mauntz: Sobol et al. (2007) and Saltelli et al. (2010)) | ggplot.sobol2007 plot.sobol2007 plotMultOut.sobol2007 print.sobol2007 sobol2007 tell.sobol2007 |
| Monte Carlo Estimation of Sobol' Indices (formulas of Janon-Monod) | ggplot.sobolEff plot.sobolEff print.sobolEff sobolEff tell.sobolEff |
| Kriging-based sensitivity analysis | ask.sobolGP plot.sobolGP print.sobolGP sobolGP tell.sobolGP |
| Monte Carlo Estimation of Sobol' Indices (improved formulas of Jansen (1999) and Saltelli et al. (2010)) | ggplot.soboljansen plot.soboljansen plotMultOut.soboljansen print.soboljansen soboljansen tell.soboljansen |
| Monte Carlo Estimation of Sobol' Indices via matrix permutations | ggplot.sobolmara plot.sobolmara plotMultOut.sobolmara print.sobolmara sobolmara tell.sobolmara |
| Monte Carlo Estimation of Sobol' Indices (formulas of Martinez (2011)) | ggplot.sobolmartinez plot.sobolmartinez print.sobolmartinez sobolmartinez tell.sobolmartinez |
| Monte Carlo Estimation of Aggregated Sobol' Indices for multiple and functional outputs | ggplot.sobolMultOut plot.sobolMultOut plotMultOut plotMultOut.sobolMultOut print.sobolMultOut sobolMultOut |
| Monte Carlo Estimation of Sobol' Indices (improved formulas of Owen (2013) | ggplot.sobolowen plot.sobolowen print.sobolowen sobolowen tell.sobolowen |
| First-order sensitivity indices estimation via ranking | ggplot.sobolrank plot.sobolrank print.sobolrank sobolrank tell.sobolrank |
| Recursive estimation of Sobol' indices | ask.sobolrec plot.sobolrec print.sobolrec sobolrec tell.sobolrec |
| Sobol' indices estimation based on replicated orthogonal arrays | plot.sobolrep print.sobolrep sobolrep tell.sobolrep |
| Sobol' Indices Estimation Using Replicated OA-based LHS | ggplot.sobolroalhs plot.sobolroalhs print.sobolroalhs sobolroalhs tell.sobolroalhs |
| Sobol' Indices estimation under inequality constraints | ggplot.sobolroauc plot.sobolroauc print.sobolroauc sobolroauc tell.sobolroauc |
| Monte Carlo Estimation of Sobol' Indices based on Saltelli schemes | ggplot.sobolSalt plot.sobolSalt print.sobolSalt sobolSalt tell.sobolSalt |
| Flexible sensitivity analysis via ranking / nearest neighbours | extract.sobolshap_knn ggplot.sobolshap_knn plot.sobolshap_knn print.sobolshap_knn sobolshap_knn tell.sobolshap_knn |
| Estimation of Sobol' First Order Indices with B-spline Smoothing | sobolSmthSpl |
| Liu and Owen Estimation of Total Interaction Indices | ggplot.sobolTIIlo plot.sobolTIIlo plotFG.sobolTIIlo print.sobolTIIlo sobolTIIlo tell.sobolTIIlo |
| Pick-freeze Estimation of Total Interaction Indices | ggplot.sobolTIIpf plot.sobolTIIpf plotFG plotFG.sobolTIIpf print.sobolTIIpf sobolTIIpf tell.sobolTIIpf |
| Monte Carlo Estimation of Sobol' Indices (formulas of Martinez (2011) and Touati (2016)) | ggplot.soboltouati plot.soboltouati print.soboltouati soboltouati tell.soboltouati |
| Squared integral estimate | squaredIntEstim |
| Standardized Regression Coefficients | ggplot.src plot.src print.src src |
| Support index functions: Measuring the effect of input variables over their support | support |
| Replace Values in a Template Text | template.replace |
| Tests of Independence based on the Hilbert-Schmidt Independence Criterion (HSIC) | gamma.test.testHSIC mean.nondiag.testHSIC plot.testHSIC print.testHSIC seq.permutation.test.testHSIC testHSIC |
| Test Models for Sensitivity Analysis | atantemp.fun campbell1D.fun friedman.fun heterdisc.fun ishigami.fun linkletter.fun matyas.fun morris.fun sobol.fun testmodels |
| Truncated distributions | dgumbel.trunc dnorm.trunc pgumbel.trunc pnorm.trunc qgumbel.trunc qnorm.trunc rgumbel.trunc rnorm.trunc truncateddistrib |
| Weight-function to transform an output variable in order to perform Target Sensitivity Analysis (TSA) | weightTSA |
