.determine_start_values

Determine initial parameter values

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

.determine_start_values function

<dl><dt>data</dt>
<dd>Numeric vector with values in the (0, 1) interval.</dd>
<dt>start</dt>
<dd>Optional list with initial parameter values.</dd>
<dt>fixed</dt>
<dd>Optional list of parameters to be held fixed.</dd>
<dt>family</dt>
<dd>Character string specifying the distribution family.</dd>
<dt>use_moments</dt>
<dd>Logical; if TRUE, uses method of moments for initial values.</dd>
<dt>silent</dt>
<dd>Logical; if TRUE, suppresses messages.</dd></dl>

Arguments

Determine initial parameter values — .determine_start_values

<dl>

<dt>data</dt>
<dd>Numeric vector with values in the (0, 1) interval.</dd>


<dt>start</dt>
<dd>Optional list with initial parameter values.</dd>


<dt>fixed</dt>
<dd>Optional list of parameters to be held fixed.</dd>


<dt>family</dt>
<dd>Character string specifying the distribution family.</dd>


<dt>use_moments</dt>
<dd>Logical; if TRUE, uses method of moments for initial values.</dd>


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

</dl>

.determine_start_values: Determine initial parameter values

Description

Usage

Value

Arguments