gkwgetstartvalues

Main function to estimate GKw distribution parameters using the method of moments.
This implementation is optimized for numerical stability and computational efficiency.

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

gkwgetstartvalues function

<dl><dt>x</dt>
<dd>Data vector (must be in (0,1))</dd>
<dt>n_starts</dt>
<dd>Number of starting points for optimization</dd></dl>

Arguments

Main function to estimate GKw distribution parameters using the method of moments.
This implementation is optimized for numerical stability and computational efficiency. — gkwgetstartvalues

<dl>

<dt>x</dt>
<dd>Data vector (must be in (0,1))</dd>


<dt>n_starts</dt>
<dd>Number of starting points for optimization</dd>

</dl>

Main function to estimate GKw distribution parameters using the method of moments.
This implementation is optimized for numerical stability and computational efficiency.

gkwgetstartvalues: Main function to estimate GKw distribution parameters using the method of moments. This implementation is optimized for numerical stability and computational efficiency.

Description

Usage

Value

Arguments