A function that relates operating model parameters and parameters of the observation model to relative yield (yield over last 5 years of projection relative to a 'best F' scenario that maximizes yield).
VOI2(MSEobj, ncomp = 6, nbins = 4, Ut = NA, Utnam = "yield", lay = F)An object of class MSE
Maximum number of observation variables to examine per MP
Number of bins for sampled observation variables used for calculating variability in utility across the sampled range of each parameter
A matrix of user-specified utility values of nsim rows and nMPs columns
The name of the utility measure for plotting
Controls whether labels are in lay terms or not
VOI2 assumes that relative cost for each type of improvement in data is linearly related to the number of samples (e.g. nCAAobs) or square function of improved precision and bias e.g.: relative cost= 1/(newCV/oldCV)^2