.plot_gkwreg_ggplot

Generate diagnostic plots using ggplot2

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

.plot_gkwreg_ggplot function

<dl><dt>diag_data</dt>
<dd>List of diagnostic data</dd>
<dt>which</dt>
<dd>Integer vector specifying which plots to produce</dd>
<dt>plot_titles</dt>
<dd>Named vector of plot titles</dd>
<dt>sub.caption</dt>
<dd>Character string for subtitle</dd>
<dt>ask</dt>
<dd>Logical; whether to ask before new plots</dd>
<dt>arrange_plots</dt>
<dd>Logical; whether to arrange multiple plots in a grid</dd>
<dt>theme_fn</dt>
<dd>ggplot2 theme function</dd>
<dt>...</dt>
<dd>Additional graphical parameters</dd></dl>

Arguments

Generate diagnostic plots using ggplot2 — .plot_gkwreg_ggplot

<dl>

<dt>diag_data</dt>
<dd>List of diagnostic data</dd>


<dt>which</dt>
<dd>Integer vector specifying which plots to produce</dd>


<dt>plot_titles</dt>
<dd>Named vector of plot titles</dd>


<dt>sub.caption</dt>
<dd>Character string for subtitle</dd>


<dt>ask</dt>
<dd>Logical; whether to ask before new plots</dd>


<dt>arrange_plots</dt>
<dd>Logical; whether to arrange multiple plots in a grid</dd>


<dt>theme_fn</dt>
<dd>ggplot2 theme function</dd>


<dt>...</dt>
<dd>Additional graphical parameters</dd>

</dl>

.plot_gkwreg_ggplot: Generate diagnostic plots using ggplot2

Description

Usage

Value

Arguments