Estimation of the unscaled total Sobol index of all main indices by method Liu & Owen (superset importance of main indices).
totalIndex(f.mat, d, q = NULL, q.arg = NULL, n.mc, ...)
vectorized function of which indices shall be estimated
integer, number of input factors (vertices)
a vector of character strings of quantile functions corresponding to the factors distributions, it can be a single character string meaning same distribution for all, if not specified "qunif"
is taken
a list of lists of quantile functions parameters of the distributions in q
, it can be a single list meaning same parameters for all, if not specified the default values of the respective distributions are taken
number of Monte Carlo evaluations
additional arguments to be passed to the function f.mat
A vector containing the unscaled total Sobol indices
Liu, R.; Owen, A.B. (2006) Estimating mean dimensionality of analysis of variance decompositions, Journal of the American Statistical Association, 101 474, 712-721.
# NOT RUN {
totalIndex(f.mat=ishigami.fun, d=3, q.arg=list(min=-pi,max=pi), n.mc=10000)
totalIndex(f.mat=sobol.fun, d=8, q.arg=list(min=0,max=1), n.mc=10000)
# }
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