Likelihood.RUM.Multitype: Likelihood for Multitype Random Utility Models

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

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")

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