The function performing the Alternating Least Square (ALS) Algorithm.

An implementation of fitting generalized linear models on
second-order tensor type data. The functions within this package mainly focus on
parameter estimation, including parameter coefficients and standard deviation.

Mark Chen

TensorTest2D

Fitting Second-Order Tensor Data

Sheng-Mao Chang

Wenbin Lu

Jung-Ying Tzeng

Ping-Yang Chen

ALS function

<dl><dt>DATA</dt>
<dd>A list. The input data. <code>DATA$y</code> is the dependent variable.
<code>DATA$X</code> is the 3-D tensor independent variables.
<code>DATA$W</code> is other independent variables.</dd>
<dt>n_R</dt>
<dd>A numerical constant. A predefined value determines the rank of
the approximate matrix</dd>
<dt>family</dt>
<dd>Family of <kbd>generalized linear model</kbd>. Provide three options for model.(see more details in
Details)</dd>
<dt>opt</dt>
<dd>Optimization options. Provide two options for optimization
stopping criterion. opt = 1 or 2. (see more details in
Details)</dd>
<dt>max_ite</dt>
<dd>Maximum iteration. The value of maximum iterations for the
algorithm.</dd>
<dt>tol</dt>
<dd>Tolerance. The value of tolerance with respect to optimization.</dd></dl>

Arguments

The function performing the Alternating Least Square (ALS) Algorithm. — ALS

<dl>

<dt>DATA</dt>
<dd>A list. The input data. <code>DATA$y</code> is the dependent variable.
<code>DATA$X</code> is the 3-D tensor independent variables.
<code>DATA$W</code> is other independent variables.</dd>


<dt>n_R</dt>
<dd>A numerical constant. A predefined value determines the rank of
the approximate matrix</dd>


<dt>family</dt>
<dd>Family of <kbd>generalized linear model</kbd>. Provide three options for model.(see more details in
Details)</dd>


<dt>opt</dt>
<dd>Optimization options. Provide two options for optimization
stopping criterion. opt = 1 or 2. (see more details in
Details)</dd>


<dt>max_ite</dt>
<dd>Maximum iteration. The value of maximum iterations for the
algorithm.</dd>


<dt>tol</dt>
<dd>Tolerance. The value of tolerance with respect to optimization.</dd>

</dl>

ALS: The function performing the Alternating Least Square (ALS) Algorithm.

Description

Usage

Value

Arguments