Calculate Value Of Information 2

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).

Usage

VOI2(MSEobj, ncomp = 6, nbins = 4, Ut = NA, Utnam = "yield", lay = F)

Arguments

MSEobj

An object of class MSE

ncomp

Maximum number of observation variables to examine per MP

nbins

Number of bins for sampled observation variables used for calculating variability in utility across the sampled range of each parameter

Ut

A matrix of user-specified utility values of nsim rows and nMPs columns

Utnam

The name of the utility measure for plotting

lay

Controls whether labels are in lay terms or not

Note

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

Author

T. Carruthers