Estimation.Normal.GMM {StatRank}

GMM Method for Estimating Random Utility Model wih Normal dsitributions

Description

GMM Method for Estimating Random Utility Model wih Normal dsitributions

Usage

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

Arguments

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

Value

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

Examples

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