vec2net

Create network matrices from vectorized lower diagonals
<code>vec2net</code> transfer the matrix vectorized lower diagonals into net to show the component image.

Implementation of SING algorithm to extract joint and individual non-Gaussian components from two datasets. SING uses an objective function that maximizes the skewness and kurtosis of latent components with a penalty to enhance the similarity between subject scores. Unlike other existing methods, SING does not use PCA for dimension reduction, but rather uses non-Gaussianity, which can improve feature extraction. Benjamin B.Risk, Irina Gaynanova (2021) <doi:10.1214/21-AOAS1466>.

Liangkang Wang

singR

Simultaneous Non-Gaussian Component Analysis

Irina Gaynanova

Benjamin Risk

vec2net function

<dl><dt>invector</dt>
<dd>vectorized lower diagonals.</dd>
<dt>make.diag</dt>
<dd>default value = 1.</dd></dl>

Arguments

Create network matrices from vectorized lower diagonals
vec2net transfer the matrix vectorized lower diagonals into net to show the component image. — vec2net

<dl>

<dt>invector</dt>
<dd>vectorized lower diagonals.</dd>


<dt>make.diag</dt>
<dd>default value = 1.</dd>

</dl>

Create network matrices from vectorized lower diagonals
<code>vec2net</code> transfer the matrix vectorized lower diagonals into net to show the component image.

vec2net: Create network matrices from vectorized lower diagonals `vec2net` transfer the matrix vectorized lower diagonals into net to show the component image.

Description

Usage

Value

Arguments