oakley_Fun {sensobol}R Documentation

Oakley & O'Hagan (2004) function

Description

It implements the Oakley and O'Hagan (2004) function. The function needs 15 model inputs. The transformation of the distribution of the model inputs (from uniform to normally distributed with mean = 0 and sd = 1) is conducted internally.

Usage

oakley_Fun(X)

Arguments

X

A data frame or numeric matrix.

Value

A numeric vector with the model output.

References

Oakley J, O'Hagan A (2004). “Probabilistic sensitivity analysis of complex models: a Bayesian approach.” Journal of the Royal Statistical Society B, 66(3), 751–769. ISSN 13697412, doi: 10.1111/j.1467-9868.2004.05304.x.

Examples

A <- sobol_matrices(n = 100, k = 15)
Y <- oakley_Fun(A)

[Package sensobol version 0.2.2 Index]