Design generation for Sobol indices — sobol4r

Simple helper that wraps sensitivity::sobol with model = NULL to create the extended design matrix used to evaluate the model.

Usage

sobol4r_design(
  X1,
  X2,
  order = 2,
  nboot = 0,
  type = c("soboljansen", "sobol", "sobol2007", "sobolEff", "sobolmartinez"),
  ...
)

X1: First sample (matrix or data.frame).
X2: Second sample (matrix or data.frame).
order: Maximum interaction order (1 or 2).
nboot: Number of bootstrap replicates for confidence intervals.
type: Type of Monte Carlo Estimation of Sobol' Indices to be used. Supported estimators mirror the sensitivity helpers: sobol, sobol2007, soboljansen, sobolEff, and sobolmartinez. Defaults to "soboljansen", which is the safest general-purpose choice for both deterministic and stochastic simulators.
...: Additional arguments passed to sensitivity::sobol.

An object of class "sobol" whose $X field contains the design matrix. You should evaluate your model on $X and then call sensitivity::tell().