Estimation.PL.MLE: Performs parameter estimation for the Plackett-Luce model...

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

Description

Performs parameter estimation for the Plackett-Luce model using an Minorize Maximize algorithm

Usage

Estimation.PL.MLE(Data, iter = 10)

Arguments

Data	data in either partial or full rankings (Partial rank case works for settings like car racing)
iter	number of MM iterations to run

Value

list of estimated means (Gamma) and the log likelihoods

Examples

data(Data.Test)
Estimation.PL.MLE(Data.Test)

Example output

[1] "Finished 1/10"
[1] "Finished 2/10"
[1] "Finished 3/10"
[1] "Finished 4/10"
[1] "Finished 5/10"
[1] "Finished 6/10"
[1] "Finished 7/10"
[1] "Finished 8/10"
[1] "Finished 9/10"
[1] "Finished 10/10"
$m
[1] 5

$order
[1] 1 2 3 4 5

$Mean
[1] 0.09125506 0.14783081 0.20515827 0.23404831 0.32170757

$SD
[1] 0.09125506 0.14783081 0.20515827 0.23404831 0.32170757

$LL
         [,1]      [,2]      [,3]     [,4]      [,5]      [,6]      [,7]
[1,] -22.6349 -22.55422 -22.54277 -22.5405 -22.53989 -22.53968 -22.53958
          [,8]      [,9]     [,10]
[1,] -22.53952 -22.53948 -22.53945

$Time
   user  system elapsed 
  0.010   0.000   0.012 

$AverageLogLikelihood
         [,1]
[1,] -4.50789

$Parameters
$Parameters[[1]]
$Parameters[[1]]$Mean
[1] 0.09125506


$Parameters[[2]]
$Parameters[[2]]$Mean
[1] 0.1478308


$Parameters[[3]]
$Parameters[[3]]$Mean
[1] 0.2051583


$Parameters[[4]]
$Parameters[[4]]$Mean
[1] 0.2340483


$Parameters[[5]]
$Parameters[[5]]$Mean
[1] 0.3217076

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