oakley_Fun {sensobol} | R Documentation |
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.
oakley_Fun(X)
X |
A data frame or numeric matrix. |
A numeric vector with the model output.
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.
A <- sobol_matrices(n = 100, k = 15) Y <- oakley_Fun(A)