Evaluation.MSE {StatRank}

Calculates MSE between empirical pairwise preferences and modeled pairwise preferences

Description

Calculates MSE between empirical pairwise preferences and modeled pairwise preferences

Usage

Evaluation.MSE(Data.pairs, m, Estimate, pairwise.prob = NA, prior = 0,
  nonparametric = FALSE, ...)

Arguments

Data.pairs

data broken up into pairs using Breaking function

m

number of alternatives

Estimate

estimation object from an Estimate function

pairwise.prob

Function that given two alternatives from

prior

prior weight to put in pairwise frequency matrix

nonparametric

indicator that model is nonparametric (default FALSE) the the Parameters argument, returns back a model probability that one is larger than the other

...

additioanal parameters passed into generateC.model

Value

the KL divergence between modeled and empirical pairwise preferences, thinking of the probabilities as a probability distribution over the (n choose 2) pairs

Examples

data(Data.Test)
Data.Test.pairs <- Breaking(Data.Test, "full")
m <- 5
Estimate <- Estimation.PL.GMM(Data.Test.pairs, m)
Evaluation.MSE(Data.Test.pairs, m, Estimate, PL.Pairwise.Prob)