.sample_model_data

Sample model data for large datasets

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

.sample_model_data function

<dl><dt>n</dt>
<dd>Total number of observations</dd>
<dt>sample_size</dt>
<dd>Target sample size</dd>
<dt>y_obs</dt>
<dd>Vector of observed values</dd>
<dt>fitted_vals</dt>
<dd>Vector of fitted values</dd>
<dt>model_matrices</dt>
<dd>List of model matrices</dd></dl>

Arguments

Sample model data for large datasets — .sample_model_data

<dl>

<dt>n</dt>
<dd>Total number of observations</dd>


<dt>sample_size</dt>
<dd>Target sample size</dd>


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


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


<dt>model_matrices</dt>
<dd>List of model matrices</dd>

</dl>

.sample_model_data: Sample model data for large datasets

Description

Usage

Value

Arguments