print.anova.gkwfit

S3 method for class 'anova.gkwfit'

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.anova.gkwfit function

<dl><dt>x</dt>
<dd>An object of class <code>"anova.gkwfit"</code>.</dd>
<dt>digits</dt>
<dd>Minimum number of significant digits to print.</dd>
<dt>signif.stars</dt>
<dd>Logical; if TRUE, add significance stars.</dd>
<dt>...</dt>
<dd>Other args passed to</dd></dl>

Arguments

S3 method for class 'anova.gkwfit' — print.anova.gkwfit

<dl>

<dt>x</dt>
<dd>An object of class <code>"anova.gkwfit"</code>.</dd>


<dt>digits</dt>
<dd>Minimum number of significant digits to print.</dd>


<dt>signif.stars</dt>
<dd>Logical; if TRUE, add significance stars.</dd>


<dt>...</dt>
<dd>Other args passed to</dd>

</dl>

print.anova.gkwfit: S3 method for class 'anova.gkwfit'

Description

Usage

Value

Arguments