Description Usage Arguments Examples
For parametric models, plug in a pairwise function for get.pairwise.prob. For nonparametric models, set nonparametric = TRUE
1 2 | generateC.model(Estimate, get.pairwise.prob = NA, nonparametric = FALSE,
...)
|
Estimate |
inference object with a Parameter element, with a list of parameters for each alternative |
get.pairwise.prob |
(use this if its a parametric model) function that takes in two lists of parameters and computes the probability that the first is ranked higher than the second |
nonparametric |
set this flag to TRUE if this is a non-parametric model |
... |
additional arguments passed to generateC.model.Nonparametric (bandwidth) |
1 2 3 4 | data(Data.Test)
Data.Test.pairs <- Breaking(Data.Test, "full")
Estimate <- Estimation.Normal.GMM(Data.Test.pairs, 5)
generateC.model(Estimate, Normal.Pairwise.Prob)
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