assessobjects: Print and Summary of 'assess' Objects

In acebayes: Optimal Bayesian Experimental Design using the ACE Algorithm

Description

These functions print and summarise objects of class "assess".

Usage

## S3 method for class 'assess'
print(x, ...)
## S3 method for class 'assess'
summary(object, ...)

Arguments

x	An object of class "assess".
object	An object of class "assess".
...	Arguments to be passed to and from other methods.

Value

These functions both provide a print out with the following information.

In the case of when d1 was generated from a call to (p)ace with argument deterministic = FALSE or from a call to (p)aceglm or (p)acenlm with argument method being "MC", then the mean and standard deviation of the n.assess evaluations of the approximate expected utility for each of the designs d1 and d2 will be printed.

Otherwise, one evaluation of the deterministic approximation to the expected utility will be printed for each of the designs from d1 and d2. In the case when d1 was generated as a call to (p)aceglm or (p)acenlm with argument criterion being "A", "D" or "E", the relative D-, E-, or A-efficiency of the two designs will be also be printed.

Author(s)

Antony M. Overstall [e-mail], David C. Woods, Maria Adamou & Damianos Michaelides

See Also

assess

acebayes documentation built on Oct. 23, 2020, 8:27 p.m.