.calculate_sim_residuals

Calculate residuals for simulated data

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_sim_residuals function

<dl><dt>sim_y</dt>
<dd>Vector of simulated observations</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 for simulated data — .calculate_sim_residuals

<dl>

<dt>sim_y</dt>
<dd>Vector of simulated observations</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_sim_residuals: Calculate residuals for simulated data

Description

Usage

Value

Arguments