calculateDensities

Evaluates the density (or its logarithm) for each observation given the parameters.

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

calculateDensities function

<dl><dt>y</dt>
<dd>NumericVector of observations.</dd>
<dt>params</dt>
<dd>NumericMatrix with parameters (columns: alpha, beta, gamma, delta, lambda).</dd>
<dt>family</dt>
<dd>String specifying the distribution family (default: "gkw").</dd>
<dt>log</dt>
<dd>Logical indicating whether to return the log-density (default FALSE).</dd></dl>

Arguments

Calculate Densities for Distribution — calculateDensities

<dl>

<dt>y</dt>
<dd>NumericVector of observations.</dd>


<dt>params</dt>
<dd>NumericMatrix with parameters (columns: alpha, beta, gamma, delta, lambda).</dd>


<dt>family</dt>
<dd>String specifying the distribution family (default: "gkw").</dd>


<dt>log</dt>
<dd>Logical indicating whether to return the log-density (default FALSE).</dd>

</dl>

calculateDensities: Calculate Densities for Distribution

Description

Usage

Value

Arguments