Breaking

data in either full or partial ranking
  format

Data

- can be full, adjacent, top or
  top.partial

method

This applies to the top method, choose which top
  k to focus on


Given full or partial orderings, this function will
generate pairwise comparison Options 1. full - All
available pairwise comparisons. This is used for partial
rank data where the ranked objects are a random subset of
all objects 2. adjacent - Only adjacent pairwise breakings
3. top - also takes in k, will break within top k and will
also generate pairwise comparisons comparing the top k with
the rest of the data 4. top.partial - This is used for
partial rank data where the ranked alternatives are
preferred over the non-ranked alternatives


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.

Breaking: Breaks full or partial orderings into pairwise comparisons

Description

Usage

Arguments

Value

Examples