.process_link

Process Link Functions 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

.process_link function

<dl><dt>link</dt>
<dd>A character string or list of character strings specifying link functions.</dd>
<dt>param_names</dt>
<dd>Names of the parameters for the specified family.</dd>
<dt>fixed_params</dt>
<dd>List of fixed parameters.</dd></dl>

Arguments

Process Link Functions for GKw Regression — .process_link

<dl>

<dt>link</dt>
<dd>A character string or list of character strings specifying link functions.</dd>


<dt>param_names</dt>
<dd>Names of the parameters for the specified family.</dd>


<dt>fixed_params</dt>
<dd>List of fixed parameters.</dd>

</dl>

.process_link: Process Link Functions for GKw Regression

Description

Usage

Value

Arguments