.generate_random_samples

Generate Random Samples from GKw Family Distributions

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

.generate_random_samples function

<dl><dt>n</dt>
<dd>Integer number of samples to generate</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

Generate Random Samples from GKw Family Distributions — .generate_random_samples

<dl>

<dt>n</dt>
<dd>Integer number of samples to generate</dd>


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


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

</dl>

.generate_random_samples: Generate Random Samples from GKw Family Distributions

Description

Usage

Value

Arguments