first matrix, this is the "true" distribution

second matrix, this is the "estimated"
  distribution


Calculates KL Divergence between non-diagonal entries of
two matrices


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.

KL: Calculates KL Divergence between non-diagonal entries of two matrices

Description

Usage

Arguments

Value

Examples