print.MPCR

Print method for <code>MPCR</code> objects.

A set of functions for some multivariate analyses utilizing a
structural equation modeling (SEM) approach through the 'OpenMx' package.
These analyses include canonical correlation analysis (CANCORR),
redundancy analysis (RDA), and multivariate principal component regression (MPCR).
It implements procedures discussed in Gu and Cheung (2023) <doi:10.1111/bmsp.12301>,
Gu, Yung, and Cheung (2019) <doi:10.1080/00273171.2018.1512847>, and
Gu et al. (2023) <doi:10.1080/00273171.2022.2141675>.

Mike Cheung

mulSEM

Some Multivariate Analyses using Structural Equation Modeling

Fei Gu

Yiu-Fai Yung

print.MPCR function

<dl><dt>x</dt>
<dd>An object returned from the class of <code>MPCR</code>.</dd>
<dt>digits</dt>
<dd>Number of digits in printing the matrices. The default is 4.</dd>
<dt>...</dt>
<dd>Unused.</dd></dl>

Arguments

Mike W.-L. Cheung <a href="/link/mikewlcheung%40nus.edu.sg?package=mulSEM&version=1.2" data-mini-rdoc="mulSEM::mikewlcheung@nus.edu.sg">mikewlcheung@nus.edu.sg</a>

Author

Print Method for MPCR Objects — print.MPCR

<dl>

<dt>x</dt>
<dd>An object returned from the class of <code>MPCR</code>.</dd>


<dt>digits</dt>
<dd>Number of digits in printing the matrices. The default is 4.</dd>


<dt>...</dt>
<dd>Unused.</dd>

</dl>

Mike W.-L. Cheung <a href='mailto:mikewlcheung@nus.edu.sg'>mikewlcheung@nus.edu.sg</a>

print.MPCR: Print Method for MPCR Objects

Description

Usage

Value

Arguments

Author