Estimation.RUM.Nonparametric {StatRank}

Nonparametric RUM Estimator

Description

Given rank data (full, top partial, or sub partial), this function returns an inference object that fits nonparametric latent utilties on the rank data.

Usage

Estimation.RUM.Nonparametric(Data, m, iter = 10, bw = 0.025,
  utilities.per.agent = 20, race = FALSE)

Arguments

Data

full, top partial, or sub partial rank data

m

number of alternatives

iter

number of EM iterations to run

bw

bandwidth, or smoothing parameter for KDE

utilities.per.agent

Number of utility vector samples that we get per agent. More generally gives a more accurate estimate

race

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

Examples

data(Data.Test)
Estimation.RUM.Nonparametric(Data.Test, m = 5, iter = 3)