.calculate_probability_plot_metrics

Calculate Probability Plot Metrics

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_probability_plot_metrics function

<dl><dt>p_empirical</dt>
<dd>Numeric vector of empirical CDF values</dd>
<dt>p_theoretical</dt>
<dd>Numeric vector of theoretical CDF values</dd>
<dt>sorted_data</dt>
<dd>Sorted numeric vector of the data</dd>
<dt>family</dt>
<dd>Character string specifying the distribution family</dd>
<dt>params</dt>
<dd>Named numeric vector of distribution parameters</dd></dl>

Arguments

Calculate Probability Plot Metrics — .calculate_probability_plot_metrics

<dl>

<dt>p_empirical</dt>
<dd>Numeric vector of empirical CDF values</dd>


<dt>p_theoretical</dt>
<dd>Numeric vector of theoretical CDF values</dd>


<dt>sorted_data</dt>
<dd>Sorted numeric vector of the data</dd>


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


<dt>params</dt>
<dd>Named numeric vector of distribution parameters</dd>

</dl>

.calculate_probability_plot_metrics: Calculate Probability Plot Metrics

Description

Usage

Value

Arguments