plot.gkwgof

Creates a panel of diagnostic plots for assessing the goodness-of-fit of a model
from the GKw family of distributions.

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.gkwgof function

<dl><dt>x</dt>
<dd>An object of class "gkwgof", typically the result of a call to <code>gkwgof</code>.</dd>
<dt>title</dt>
<dd>Plot title</dd>
<dt>ncols</dt>
<dd>Number of columns to draw plots in graphics window</dd>
<dt>which</dt>
<dd>A numeric vector specifying which plots to display.
If NULL (default), all available plots will be displayed.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to plotting functions.</dd></dl>

Arguments

Plot Method for gkwgof Objects — plot.gkwgof

<dl>

<dt>x</dt>
<dd>An object of class "gkwgof", typically the result of a call to <code>gkwgof</code>.</dd>


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


<dt>ncols</dt>
<dd>Number of columns to draw plots in graphics window</dd>


<dt>which</dt>
<dd>A numeric vector specifying which plots to display.
If NULL (default), all available plots will be displayed.</dd>


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

</dl>

plot.gkwgof: Plot Method for gkwgof Objects

Description

Usage

Value

Arguments