.fit_submodels_tmb

This internal function fits nested submodels for a given GKw family model,
to facilitate likelihood ratio testing and model comparison.

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

.fit_submodels_tmb function

<dl><dt>data</dt>
<dd>Original data used for the main model.</dd>
<dt>result</dt>
<dd>Result from the main model fit.</dd>
<dt>method</dt>
<dd>Optimization method used.</dd>
<dt>hessian</dt>
<dd>Logical; if TRUE, compute standard errors for submodels.</dd>
<dt>optimizer.control</dt>
<dd>Control parameters for optimization.</dd>
<dt>silent</dt>
<dd>Logical; if TRUE, suppress messages.</dd></dl>

Arguments

Fit submodels for the GKw family for model comparison — .fit_submodels_tmb

<dl>

<dt>data</dt>
<dd>Original data used for the main model.</dd>


<dt>result</dt>
<dd>Result from the main model fit.</dd>


<dt>method</dt>
<dd>Optimization method used.</dd>


<dt>hessian</dt>
<dd>Logical; if TRUE, compute standard errors for submodels.</dd>


<dt>optimizer.control</dt>
<dd>Control parameters for optimization.</dd>


<dt>silent</dt>
<dd>Logical; if TRUE, suppress messages.</dd>

</dl>

.fit_submodels_tmb: Fit submodels for the GKw family for model comparison

Description

Usage

Value

Arguments