evsinew3: Improved Expected Utility by Conditioning.

In sergioventurini/SAuR: Sensitivity Analysis Using R

Description

Improved expected utility calculation by conditioning on each variable.

Usage

evsinew3(X, U, h)

Arguments

X	A matrix object with size (nSamples, nVars) containing the values of random variables in each run
U	A matrix object with size (nSamples, nDecisions) containing the utility values given state X[s, ] and action j
h	A length-one numeric vector providing the number of bins for conditioning on each X[, i]

Value

A length-one numeric vector containing the expected value of perfect information.

Author(s)

Sergio Venturini [e-mail]

References

Venturini, S., Borgonovo, E. (2020), "Sensitivity Analysis Using R: the SAuR Package", Technical report.

See Also

betaKS3_R for computing some sensitivity measures.

Examples

## Not run: 
data(simdata_sub, package = "SAuR")


## End(Not run)

sergioventurini/SAuR documentation built on Dec. 8, 2019, 5:20 p.m.