Description Usage Arguments Value Examples
View source: R/6-UserBayesFunctions.R
This function returns two lists each corresponds to an implemented integration method for approximating the integrals in the sensitivity (derivative) functions for the Bayesian optimality criteria.
1 2 3 4 5 6 |
method |
A character denotes which method to be used to approximate the integrals in Bayesian criteria.
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cubature |
A list that will be passed to the arguments of the |
quadrature |
A list that will be passed to the arguments of the |
A list of control parameters for approximating the integrals.
1 2 3 | sens.bayes.control()
sens.bayes.control(cubature = list(maxEval = 50000))
sens.bayes.control(quadrature = list(level = 4))
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