.extract_model_data

Extract Model Data for GKw Regression

internal

Implements regression models for bounded continuous data in the open interval (0,1) using the five-parameter Generalized Kumaraswamy distribution. Supports modeling all distribution parameters (alpha, beta, gamma, delta, lambda) as functions of predictors through various link functions. Provides efficient maximum likelihood estimation via Template Model Builder ('TMB'), offering comprehensive diagnostics, model comparison tools, and simulation methods. Particularly useful for analyzing proportions, rates, indices, and other bounded response data with complex distributional features not adequately captured by simpler models.

Lopes J. E.

gkwreg

Generalized Kumaraswamy Regression Models for Bounded Data

.extract_model_data function

<dl><dt>formula_list</dt>
<dd>List of formulas for each parameter.</dd>
<dt>data</dt>
<dd>Data frame containing the variables.</dd>
<dt>subset</dt>
<dd>Optional subset specification.</dd>
<dt>weights</dt>
<dd>Optional weights.</dd>
<dt>na.action</dt>
<dd>Function to handle missing values.</dd>
<dt>offset</dt>
<dd>Optional offset.</dd>
<dt>contrasts</dt>
<dd>List of contrasts for factors.</dd>
<dt>original_call</dt>
<dd>The original function call.</dd></dl>

Arguments

Extract Model Data for GKw Regression — .extract_model_data

<dl>

<dt>formula_list</dt>
<dd>List of formulas for each parameter.</dd>


<dt>data</dt>
<dd>Data frame containing the variables.</dd>


<dt>subset</dt>
<dd>Optional subset specification.</dd>


<dt>weights</dt>
<dd>Optional weights.</dd>


<dt>na.action</dt>
<dd>Function to handle missing values.</dd>


<dt>offset</dt>
<dd>Optional offset.</dd>


<dt>contrasts</dt>
<dd>List of contrasts for factors.</dd>


<dt>original_call</dt>
<dd>The original function call.</dd>

</dl>

.extract_model_data: Extract Model Data for GKw Regression

Description

Usage

Value

Arguments