.prepare_tmb_data

Prepare TMB 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

.prepare_tmb_data function

<dl><dt>model_data</dt>
<dd>List of model data.</dd>
<dt>family</dt>
<dd>Family name.</dd>
<dt>param_names</dt>
<dd>Names of parameters.</dd>
<dt>fixed</dt>
<dd>List of fixed parameters and coefficients.</dd>
<dt>link_ints</dt>
<dd>List of link function integers.</dd>
<dt>link_scale_list</dt>
<dd>List of link scale values.</dd>
<dt>y</dt>
<dd>Response variable.</dd>
<dt>param_positions</dt>
<dd>Parameter position mapping for the family.</dd></dl>

Arguments

Prepare TMB Data for GKw Regression — .prepare_tmb_data

<dl>

<dt>model_data</dt>
<dd>List of model data.</dd>


<dt>family</dt>
<dd>Family name.</dd>


<dt>param_names</dt>
<dd>Names of parameters.</dd>


<dt>fixed</dt>
<dd>List of fixed parameters and coefficients.</dd>


<dt>link_ints</dt>
<dd>List of link function integers.</dd>


<dt>link_scale_list</dt>
<dd>List of link scale values.</dd>


<dt>y</dt>
<dd>Response variable.</dd>


<dt>param_positions</dt>
<dd>Parameter position mapping for the family.</dd>

</dl>

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.prepare_tmb_data: Prepare TMB Data for GKw Regression

Description

Usage

Value

Arguments