Estimation.GRUM.MLE: Performs parameter estimation for a Generalized Random...

In StatRank: Statistical Rank Aggregation: Inference, Evaluation, and Visualization

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))

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