Likelihood.RUM.Multitype {StatRank}

Likelihood for Multitype Random Utility Models

Description

Likelihood for Multitype Random Utility Models

Usage

Likelihood.RUM.Multitype(Data, Estimate, dist, race = FALSE)

Arguments

Data

n by m table of rankings

Estimate

Inference object from Estimation function

dist

Distribution of noise (exp or norm)

race

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

Value

log likelihood

Examples

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