.simulate_p_values_bootstrap

Simulate P-Values Using Parametric Bootstrap

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

.simulate_p_values_bootstrap function

<dl><dt>object</dt>
<dd>Object of class "gkwfit"</dd>
<dt>n_bootstrap</dt>
<dd>Number of bootstrap replicates</dd>
<dt>observed_tests</dt>
<dd>List of observed test statistics</dd></dl>

Arguments

Simulate P-Values Using Parametric Bootstrap — .simulate_p_values_bootstrap

<dl>

<dt>object</dt>
<dd>Object of class "gkwfit"</dd>


<dt>n_bootstrap</dt>
<dd>Number of bootstrap replicates</dd>


<dt>observed_tests</dt>
<dd>List of observed test statistics</dd>

</dl>

.simulate_p_values_bootstrap: Simulate P-Values Using Parametric Bootstrap

Description

Usage

Value

Arguments