.format_coefficient_names

Format Coefficient Names Based on Family and Model Matrices

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

.format_coefficient_names function

<dl><dt>param_names</dt>
<dd>Names of parameters for the family</dd>
<dt>model_data</dt>
<dd>Model data list including matrices</dd>
<dt>param_positions</dt>
<dd>Parameter position mapping for the family</dd></dl>

Arguments

Format Coefficient Names Based on Family and Model Matrices — .format_coefficient_names

<dl>

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


<dt>model_data</dt>
<dd>Model data list including matrices</dd>


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

</dl>

.format_coefficient_names: Format Coefficient Names Based on Family and Model Matrices

Description

Usage

Value

Arguments