.plot_ggplot_half_normal

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_ggplot_half_normal function

<dl><dt>diag_data</dt>
<dd>Diagnostic data list</dd>
<dt>p_main</dt>
<dd>Plot title</dd>
<dt>sub.caption</dt>
<dd>Plot subtitle</dd>
<dt>type</dt>
<dd>Residual type</dd>
<dt>theme_fn</dt>
<dd>ggplot2 theme function</dd></dl>

Arguments

Plot half-normal plot (ggplot2) — .plot_ggplot_half_normal

<dl>

<dt>diag_data</dt>
<dd>Diagnostic data list</dd>


<dt>p_main</dt>
<dd>Plot title</dd>


<dt>sub.caption</dt>
<dd>Plot subtitle</dd>


<dt>type</dt>
<dd>Residual type</dd>


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

</dl>

.plot_ggplot_half_normal: Plot half-normal plot (ggplot2)

Description

Usage

Value

Arguments