print.GFA

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

Several group factor analysis 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 Aggregated projection method.

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 algorithm.</dd> <dt>...</dt>
<dd>additional print arguments.</dd>
</dl>

Arguments

Print — print.GFA

<dl>

 <dt>x</dt>
<dd>the <code>GFA</code> object returned from the algorithm.</dd>

 <dt>...</dt>
<dd>additional print arguments.</dd>


</dl>

print.GFA: Print

Description

Usage

Value

Arguments