.extract_parameter_vectors

Extract parameter vectors from parameter matrix

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

.extract_parameter_vectors function

<dl><dt>param_mat</dt>
<dd>Matrix of calculated parameters</dd></dl>

Arguments

Extract parameter vectors from parameter matrix — .extract_parameter_vectors

<dl>

<dt>param_mat</dt>
<dd>Matrix of calculated parameters</dd>

</dl>

.extract_parameter_vectors: Extract parameter vectors from parameter matrix

Description

Usage

Value

Arguments