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Outputs the global sensitivity scores SI and SIT, calculated by the Sobol-Homma-Saltelli method

shs_gsa.Rd

M1, M2, and N are matrices prepared by uqsa::shs_prior(). The parameters (rows) from these matrices need to be simulated (using any method), to obtain fM1, fM2 and fN.

Usage

shs_gsa(fM1, fM2, fN, subtractMean = TRUE)

Arguments

fM1

output (f)unction values for M1, nSamples × nOuts

fM2

output (f)unction values for M2, nSamples × nOuts

fN

output (f)unction values for N, nSamples × nOuts × nPars

Value

a list with sensitivity indices $SI and total sensitivities $SIT

Details

These matrices are shaped similarly to M1, M2 and N respectively, but now the parameters are replaced by the effects they have on a observable of interest (the output). It can be the vector valued output at a specific (single) time-point or a scalar output at different time-points.

See Geir Halnes et al. (Halnes, Geir, et al. J. comp. neuroscience 27.3 (2009): 471.