.calculate_half_normal_data

Calculate half-normal plot data with envelope

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_half_normal_data function

<dl><dt>resid_vec</dt>
<dd>Vector of residuals</dd>
<dt>idx</dt>
<dd>Vector of observation indices</dd>
<dt>nsim</dt>
<dd>Number of simulations for envelope</dd>
<dt>level</dt>
<dd>Confidence level for envelope</dd>
<dt>param_mat</dt>
<dd>Matrix of calculated parameters</dd>
<dt>param_vectors</dt>
<dd>List of parameter vectors</dd>
<dt>type</dt>
<dd>Character string specifying residual type</dd>
<dt>family</dt>
<dd>Character string specifying distribution family</dd></dl>

Arguments

Calculate half-normal plot data with envelope — .calculate_half_normal_data

<dl>

<dt>resid_vec</dt>
<dd>Vector of residuals</dd>


<dt>idx</dt>
<dd>Vector of observation indices</dd>


<dt>nsim</dt>
<dd>Number of simulations for envelope</dd>


<dt>level</dt>
<dd>Confidence level for envelope</dd>


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


<dt>param_vectors</dt>
<dd>List of parameter vectors</dd>


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


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

</dl>

.calculate_half_normal_data: Calculate half-normal plot data with envelope

Description

Usage

Value

Arguments