getGLMCoef

getGLMCoef: Computing the regression coefficients of generalized linear model.

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

getGLMCoef function

<dl><dt>X</dt>
<dd>A numerical matrix. Independent variable.</dd>
<dt>y</dt>
<dd>A numerical vector. Dependent variable.</dd>
<dt>family</dt>
<dd>Family of <kbd>generalized linear model</kbd>. Provide three options for model.(see more details in
Details)</dd>
<dt>offset_vec</dt>
<dd>A numerical vector. Prior knowledge to be included in the predictors.</dd></dl>

Arguments

getGLMCoef: Computing the regression coefficients of generalized linear model. — getGLMCoef

<dl>

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


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


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


<dt>offset_vec</dt>
<dd>A numerical vector. Prior knowledge to be included in the predictors.</dd>

</dl>

getGLMCoef: getGLMCoef: Computing the regression coefficients of generalized linear model.

Description

Usage

Value

Arguments