Check_tidy_input

The function confirming the input variables fit the
requirements of the tensorReg2D function.

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

Check_tidy_input function

<dl><dt>y</dt>
<dd>A numerical vector. Dependent variable.</dd>
<dt>X</dt>
<dd>A numerical 3-D array. Independent variable(3-D tensor).</dd>
<dt>W</dt>
<dd>A numerical matrix. Independent variable.</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></dl>

Arguments

The function confirming the input variables fit the
requirements of the tensorReg2D function. — Check_tidy_input

<dl>

<dt>y</dt>
<dd>A numerical vector. Dependent variable.</dd>


<dt>X</dt>
<dd>A numerical 3-D array. Independent variable(3-D tensor).</dd>


<dt>W</dt>
<dd>A numerical matrix. Independent variable.</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>

</dl>

Check_tidy_input: The function confirming the input variables fit the requirements of the tensorReg2D function.

Description

Usage

Value

Arguments