print.GFD

Print the summary of the generated grouped data.

Implements statistical methods for group factor analysis, focusing on estimating the number of global and local factors and extracting them. Several algorithms are implemented, including Canonical Correlation-based Estimation by Choi et al. (2021) <doi:10.1016/j.jeconom.2021.09.008>, Generalised Canonical Correlation Estimation by Lin and Shin (2023) <doi:10.2139/ssrn.4295429>, Circularly Projected Estimation by Chen (2022) <doi:10.1080/07350015.2022.2051520>, and the Aggregated Projection Method by Hu et al. (2025) <doi:10.1080/01621459.2025.2491154>.

Jiaqi Hu

GrFA

Group Factor Analysis

Ting Li

Xueqin Wang

print.GFD function

<dl><dt>x</dt>
<dd>The <code>GFD</code> object returned from <code>gendata</code>.</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods.</dd></dl>

Arguments

Print Method for GFD Objects — print.GFD

<dl>

<dt>x</dt>
<dd>The <code>GFD</code> object returned from <code>gendata</code>.</dd>


<dt>...</dt>
<dd>Additional arguments passed to methods.</dd>

</dl>

print.GFD: Print Method for GFD Objects

Description

Usage

Value

Arguments