.calculate_residuals

Calculate residuals based on the specified type

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_residuals function

<dl><dt>y_obs</dt>
<dd>Vector of observed values</dd>
<dt>fitted_vals</dt>
<dd>Vector of fitted values</dd>
<dt>param_mat</dt>
<dd>Matrix of calculated parameters</dd>
<dt>type</dt>
<dd>Character string specifying residual type</dd>
<dt>family</dt>
<dd>Character string specifying distribution family</dd></dl>

Arguments

Calculate residuals based on the specified type — .calculate_residuals

<dl>

<dt>y_obs</dt>
<dd>Vector of observed values</dd>


<dt>fitted_vals</dt>
<dd>Vector of fitted values</dd>


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


<dt>type</dt>
<dd>Character string specifying residual type</dd>


<dt>family</dt>
<dd>Character string specifying distribution family</dd>

</dl>

.calculate_residuals: Calculate residuals based on the specified type

Description

Usage

Value

Arguments