sensobol The goal of sensobol is to provide a set of functions to swiftly compute and visualize up to third-order Sobol' sensitivity indices. The functions allow to: Create the sample matrices for the model evaluation. Compute and bootstrap up to third-order effects. Assess the approximation error of Sobol' indices. Plot the model uncertainty and the Sobol' indices. Installation You can install the released version of sensobol as follows: install.packages("devtools") # if you have not installed devtools package already devtools::install_github("arnaldpuy/sensobol", build_vignettes = TRUE) Example This brief example shows how to compute Sobol' indices. For a more detailed explanation of the package functions, check the vignette. ## Create sample matrix A <- sobol_matrices(n = 1000, k = 3, second = TRUE) ## Compute the model output (using the Ishigami test function): Y <- ishigami_Mapply(A) ## Compute the Sobol' indices: sens <- sobol_indices(Y = Y, params = colnames(data.frame(A)), R = 100, n = 1000, second = TRUE)