EquivalenceClass

The marginal polytope and related objects have many symmetries. By relabelling the levels
of discrete variables we transform facets into other facets. This function reduces a list of
halfspace normals to its equivalence classes.

Provides functions for carrying out nonparametric hypothesis tests of the MCAR hypothesis based on the theory of Frechet classes and compatibility. Also gives functions for computing halfspace representations of the marginal polytope and related geometric objects.

Thomas Berrett

MCARtest

Optimal Nonparametric Testing of Missing Completely at Random

EquivalenceClass function

<dl><dt>bS</dt>
<dd>A binary matrix specifying the set of observation patterns. Each row encodes a single pattern.</dd>
<dt>M</dt>
<dd>A vector of positive integers giving the alphabet sizes of the discrete variables.</dd>
<dt>Hrep</dt>
<dd>An H-representation generated by <code>MargPolyHrep</code>, <code>ConsMinkSumHrep</code> or <code>InconsMinkSumHrep</code>.</dd></dl>

Arguments

Simplifies H-representation by exploiting symmetry — EquivalenceClass

<dl>

<dt>bS</dt>
<dd>A binary matrix specifying the set of observation patterns. Each row encodes a single pattern.</dd>


<dt>M</dt>
<dd>A vector of positive integers giving the alphabet sizes of the discrete variables.</dd>


<dt>Hrep</dt>
<dd>An H-representation generated by <code>MargPolyHrep</code>, <code>ConsMinkSumHrep</code> or <code>InconsMinkSumHrep</code>.</dd>

</dl>

EquivalenceClass: Simplifies H-representation by exploiting symmetry

Description

Usage

Value

Arguments

Examples