.calculate_gof

Calculate goodness-of-fit statistics

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

.calculate_gof function

<dl><dt>result</dt>
<dd>Fit result from TMB or Newton-Raphson.</dd>
<dt>data</dt>
<dd>Numeric vector with values in the (0, 1) interval.</dd>
<dt>family</dt>
<dd>Character string specifying the distribution family.</dd>
<dt>silent</dt>
<dd>Logical; if TRUE, suppresses messages.</dd></dl>

Arguments

Calculate goodness-of-fit statistics — .calculate_gof

<dl>

<dt>result</dt>
<dd>Fit result from TMB or Newton-Raphson.</dd>


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


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


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

</dl>

.calculate_gof: Calculate goodness-of-fit statistics

Description

Usage

Value

Arguments