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