colVector

Generates the column indices used internally to generate the sparse matrix A.

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

colVector function

<dl><dt>cardS</dt>
<dd>The number of missingness patterns.</dd>
<dt>cardChi</dt>
<dd>The cardinality of the full joint space.</dd></dl>

Arguments

Generates the column indices used internally to generate the sparse matrix A. — colVector

<dl>

<dt>cardS</dt>
<dd>The number of missingness patterns.</dd>


<dt>cardChi</dt>
<dd>The cardinality of the full joint space.</dd>

</dl>

colVector: Generates the column indices used internally to generate the sparse matrix A.

Description

Usage

Value

Arguments