coef.hglm

The function returns different types of coefficients for a model.

Holistic generalized linear models (HGLMs) extend generalized linear models (GLMs) by enabling the possibility to add further constraints to the model. The 'holiglm' package simplifies estimating HGLMs using convex optimization. Additional information about the package can be found in the reference manual, the 'README' and the accompanying paper <doi:10.18637/jss.v108.i07>.

Benjamin Schwendinger

holiglm

Holistic Generalized Linear Models

Florian Schwendinger

Laura Vana

coef.hglm function

<dl><dt>object</dt>
<dd>an object inheriting from <code>"hglm"</code> or <code>"hglm.fit"</code>
from which the coefficients are obtained from.</dd>
<dt>type</dt>
<dd>Default value is <code>"unscaled"</code>. Allowed values are
<code>"unscaled"</code>, <code>"scaled"</code> and <code>"selected"</code>.</dd>
<dt>...</dt>
<dd>optional arguments currently ignored.</dd></dl>

Arguments

Extract Model Coefficients — coef.hglm

<dl>

<dt>object</dt>
<dd>an object inheriting from <code>"hglm"</code> or <code>"hglm.fit"</code>
from which the coefficients are obtained from.</dd>


<dt>type</dt>
<dd>Default value is <code>"unscaled"</code>. Allowed values are
<code>"unscaled"</code>, <code>"scaled"</code> and <code>"selected"</code>.</dd>


<dt>...</dt>
<dd>optional arguments currently ignored.</dd>

</dl>

coef.hglm: Extract Model Coefficients

Description

Usage

Value

Arguments

Details

Examples