trim

Given an array, matrix, or vector, <code>trim</code> will truncate all
elements smaller than <code>epsilon</code> (in absolute value) to zero.

A collection of functions for Kronecker structured covariance
estimation and testing under the array normal model. For estimation,
maximum likelihood and Bayesian equivariant estimation procedures are
implemented. For testing, a likelihood ratio testing procedure is
available. This package also contains additional functions for manipulating
and decomposing tensor data sets. This work was partially supported by NSF
grant DMS-1505136. Details of the methods are described in
Gerard and Hoff (2015) <doi:10.1016/j.jmva.2015.01.020> and
Gerard and Hoff (2016) <doi:10.1016/j.laa.2016.04.033>.

David Gerard

tensr

Covariance Inference and Decompositions for Tensor Datasets

Peter Hoff

trim function

<dl><dt>X</dt>
<dd>An array, a matrix, or a vector.</dd>
<dt>epsilon</dt>
<dd>A numeric.</dd></dl>

Arguments

Author

Truncates small numbers to 0. — trim

<dl>

<dt>X</dt>
<dd>An array, a matrix, or a vector.</dd>


<dt>epsilon</dt>
<dd>A numeric.</dd>

</dl>

trim: Truncates small numbers to 0.

Description

Usage

Arguments

Author

Details

Examples