.generate_additional_plots

Generate Additional Diagnostic Plots Beyond Those in gkwfit

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

.generate_additional_plots function

<dl><dt>object</dt>
<dd>Object of class "gkwfit"</dd>
<dt>data</dt>
<dd>Numeric vector of data</dd>
<dt>p_empirical</dt>
<dd>Numeric vector of empirical CDF values</dd>
<dt>p_theoretical</dt>
<dd>Numeric vector of theoretical CDF values</dd>
<dt>theme</dt>
<dd>A ggplot theme, defaults to theme_classic()</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to plotting functions</dd></dl>

Arguments

Generate Additional Diagnostic Plots Beyond Those in gkwfit — .generate_additional_plots

<dl>

<dt>object</dt>
<dd>Object of class "gkwfit"</dd>


<dt>data</dt>
<dd>Numeric vector of data</dd>


<dt>p_empirical</dt>
<dd>Numeric vector of empirical CDF values</dd>


<dt>p_theoretical</dt>
<dd>Numeric vector of theoretical CDF values</dd>


<dt>theme</dt>
<dd>A ggplot theme, defaults to theme_classic()</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to plotting functions</dd>

</dl>

.generate_additional_plots: Generate Additional Diagnostic Plots Beyond Those in gkwfit

Description

Usage

Value

Arguments