.calculate_profiles

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

.calculate_profiles function

<dl><dt>result</dt>
<dd>Fit result from TMB or Newton-Raphson.</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.</dd>
<dt>fixed</dt>
<dd>List of parameters to be held fixed.</dd>
<dt>fit</dt>
<dd>Estimation method: "tmb" or "nr".</dd>
<dt>method</dt>
<dd>Optimization method (for TMB): "nlminb" or "optim".</dd>
<dt>npoints</dt>
<dd>Number of points in profile.</dd>
<dt>silent</dt>
<dd>Logical; if TRUE, suppresses messages.</dd></dl>

Arguments

Calculate profile likelihoods — .calculate_profiles

<dl>

<dt>result</dt>
<dd>Fit result from TMB or Newton-Raphson.</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.</dd>


<dt>fixed</dt>
<dd>List of parameters to be held fixed.</dd>


<dt>fit</dt>
<dd>Estimation method: "tmb" or "nr".</dd>


<dt>method</dt>
<dd>Optimization method (for TMB): "nlminb" or "optim".</dd>


<dt>npoints</dt>
<dd>Number of points in profile.</dd>


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

</dl>

.calculate_profiles: Calculate profile likelihoods

Description

Usage

Value

Arguments