.process_formula_parts

Process Formula Parts from a Formula Object

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_formula_parts function

<dl><dt>formula_obj</dt>
<dd>Formula object created with the Formula package.</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>
<dt>data</dt>
<dd>Data frame containing the variables.</dd></dl>

Arguments

Process Formula Parts from a Formula Object — .process_formula_parts

<dl>

<dt>formula_obj</dt>
<dd>Formula object created with the Formula package.</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>


<dt>data</dt>
<dd>Data frame containing the variables.</dd>

</dl>

.process_formula_parts: Process Formula Parts from a Formula Object

Description

Usage

Value

Arguments