print.gkwgof

Prints a summary of the goodness-of-fit analysis for GKw family 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

print.gkwgof function

<dl><dt>x</dt>
<dd>An object of class "gkwgof", typically the result of a call to <code>gkwgof</code>.</dd>
<dt>verbose</dt>
<dd>Logical; if TRUE, provides additional details and explanations.
Default is FALSE.</dd>
<dt>...</dt>
<dd>Additional arguments (currently unused).</dd></dl>

Arguments

Print Method for gkwgof Objects — print.gkwgof

<dl>

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


<dt>verbose</dt>
<dd>Logical; if TRUE, provides additional details and explanations.
Default is FALSE.</dd>


<dt>...</dt>
<dd>Additional arguments (currently unused).</dd>

</dl>

print.gkwgof: Print Method for gkwgof Objects

Description

Usage

Value

Arguments