print.GFA

Print the summarized results of the estimated group factor model, such as the estimated global and local factor numbers and reference statistics.

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.GFA function

<dl><dt>x</dt>
<dd>The <code>GFA</code> object returned from the estimation algorithms (e.g., <code>APM</code>, <code>CCA</code>, <code>GCC</code>, <code>CP</code>).</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods.</dd></dl>

Arguments

Print Method for GFA Objects — print.GFA

<dl>

<dt>x</dt>
<dd>The <code>GFA</code> object returned from the estimation algorithms (e.g., <code>APM</code>, <code>CCA</code>, <code>GCC</code>, <code>CP</code>).</dd>


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

</dl>

print.GFA: Print Method for GFA Objects

Description

Usage

Value

Arguments