.process_fixed

Process Fixed Parameters 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_fixed function

<dl><dt>fixed</dt>
<dd>List of fixed parameters or coefficients.</dd>
<dt>param_names</dt>
<dd>Names of the parameters for the specified family.</dd>
<dt>fixed_params</dt>
<dd>List of fixed parameters from the family definition.</dd></dl>

Arguments

Process Fixed Parameters for GKw Regression — .process_fixed

<dl>

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


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


<dt>fixed_params</dt>
<dd>List of fixed parameters from the family definition.</dd>

</dl>

.process_fixed: Process Fixed Parameters for GKw Regression

Description

Usage

Value

Arguments