Estimation.GRUM.MLE {StatRank}

Performs parameter estimation for a Generalized Random Utility Model with user and alternative characteristics

Description

This function supports RUMs 1) Normal with fixed variance (fixed at 1)

Usage

Estimation.GRUM.MLE(Data, X, Z, iter, dist, din, Bin)

Arguments

Data

data in either partial or full rankings

X

user characteristics

Z

alternative characteristics

iter

number of iterations to run algorithm

dist

choice of distribution

din

initialization of delta vector

Bin

intialization of B matrix

Value

results from the inference

Examples

#data(Data.Test)
#Data.X= matrix( runif(15),5,3)
#Data.Z= matrix(runif(10),2,5)
#Estimation.GRUM.MLE(Data.Test, Data.X, Data.Z, iter = 3, dist = "norm",
#din=runif(5), Bin=matrix(runif(6),3,2))