summary.gkwgof

Provides a concise summary of the goodness-of-fit analysis results.

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

summary.gkwgof function

<dl><dt>object</dt>
<dd>An object of class "gkwgof".</dd>
<dt>...</dt>
<dd>Additional arguments (not used).</dd></dl>

Arguments

Summary Method for gkwgof Objects — summary.gkwgof

<dl>

<dt>object</dt>
<dd>An object of class "gkwgof".</dd>


<dt>...</dt>
<dd>Additional arguments (not used).</dd>

</dl>

summary.gkwgof: Summary Method for gkwgof Objects

Description

Usage

Value

Arguments