Estimation.Normal.GMM: GMM Method for Estimating Random Utility Model wih Normal...
In StatRank: Statistical Rank Aggregation: Inference, Evaluation, and Visualization

GMM Method for Estimating Random Utility Model wih Normal dsitributions

1	Estimation.Normal.GMM(Data.pairs, m, iter = 1000, Var = FALSE, prior = 0)

`Data.pairs`	data broken up into pairs
`m`	number of alternatives
`iter`	number of iterations to run
`Var`	indicator for difference variance (default is FALSE)
`prior`	magnitude of fake observations input into the model

Estimated mean parameters for distribution of underlying normal (variance is fixed at 1)

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data(Data.Test)
Data.Test.pairs <- Breaking(Data.Test, "full")
Estimation.Normal.GMM(Data.Test.pairs, 5)

StatRank documentation built on May 1, 2019, 8:22 p.m.

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