investigateUtility: Post factum analysis: check how much utility is missing
In kciomek/rorutadis: Robust Ordinal Regression UTADIS

Description Usage Arguments Value See Also Examples

This function calculates missing value of an alternative utility for that alternative to be possibly (or necessarily) assigned to at least some specific class.

1	investigateUtility(alternative, atLeastToClass, necessary, problem)

`alternative`	An alternative index.
`atLeastToClass`	An assignment to investigate.
`necessary`	Whether necessary or possible assignment is considered.
`problem`	Problem for investigation.

List with named elements:

ux - value of missing utility,
solution - result of solving model. It can be used for further computations (getAssignments, getThresholds, getMarginalUtilities, getCharacteristicPoints).

NULL is returned if given assignment is not possible.

getMarginalUtilities getCharacteristicPoints getThresholds improveAssignment

perf <- matrix(c(8, 2, 1, 7, 0.5, 0.9, 0.4, 0.5), ncol = 2)
problem <- buildProblem(perf, 3, FALSE, c('g', 'g'), c(0, 0))
problem <- addAssignmentsUB(problem, c(1, 2), c(2, 3))

result <- investigateUtility(4, 3, FALSE, problem)