Estimation.RUM.MultiType.MLE {StatRank}

Performs parameter estimation for a Multitype Random Utility Model

Description

This function supports RUMs 1) Normal 2) Normal with fixed variance (fixed at 1) 3) Exponential

Usage

Estimation.RUM.MultiType.MLE(Data, K = 2, iter = 10, dist, ratio = 0.2,
  race = FALSE)

Arguments

Data

data in either partial or full rankings

K

number of components in mixture distribution

iter

number of EM iterations to run

dist

underlying distribution. Can be "norm", "norm.fixedvariance", "exp"

ratio

parameter in the algorithm that controls the difference of the starting points, the bigger the ratio the more the distance

race

TRUE if data is sub partial, FALSE (default) if not

Value

results from the inference

Examples

Data.Tiny <- matrix(c(1, 2, 3, 3, 2, 1, 1, 2, 3), ncol = 3, byrow = TRUE)
Estimation.RUM.MultiType.MLE(Data.Tiny, K=2, iter = 3, dist= "norm.fixedvariance")