.generate_plots

This internal function creates a set of diagnostic plots for evaluating
the fit of various distribution families to bounded data in the (0, 1) interval.
It generates histograms with fitted density overlays, P-P plots, Q-Q plots,
and profile likelihood plots when available.

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_plots function

<dl><dt>result</dt>
<dd>A list containing model fit results from TMB or Newton-Raphson,
must include a 'coefficients' element with named parameters.</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.
Supported values: "gkw", "bkw", "kkw", "ekw", "mc", "kw", "beta".</dd>
<dt>silent</dt>
<dd>Logical; if TRUE, suppresses messages. Default is FALSE.</dd></dl>

Arguments

Generate diagnostic plots for distribution models — .generate_plots

<dl>

<dt>result</dt>
<dd>A list containing model fit results from TMB or Newton-Raphson,
must include a 'coefficients' element with named parameters.</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.
Supported values: "gkw", "bkw", "kkw", "ekw", "mc", "kw", "beta".</dd>


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

</dl>

Get 50% off unlimited learning

.generate_plots: Generate diagnostic plots for distribution models

Description

Usage

Value

Arguments