Estimation.Zemel.MLE

data broken up into pairwise
  comparisons

Data.pairs

threshold

learning.rate


This function takes in data broken into pairs, and
estimates the parameters of the Zemel mode via Gradient
Descent


A set of methods to implement Generalized Method of Moments and Maximal
Likelihood methods for Random Utility Models. These methods are meant to
provide inference on rank comparison data. These methods accept full,
partial, and pairwise rankings, and provides methods to break down full or
partial rankings into their pairwise components. Please see Generalized
Method-of-Moments for Rank Aggregation from NIPS 2013 for a description of
some of our methods.

Estimation.Zemel.MLE: Estimates Zemel Parameters via Gradient Descent

Description

Usage

Arguments

Value