.validate_parameters

Validate parameters for 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

.validate_parameters function

<dl><dt>start</dt>
<dd>List with initial parameter values.</dd>
<dt>fixed</dt>
<dd>List of parameters to be held fixed (not estimated).</dd>
<dt>param_names</dt>
<dd>Character vector of parameter names needed for the model.</dd></dl>

Arguments

Validate parameters for GKw family distributions — .validate_parameters

<dl>

<dt>start</dt>
<dd>List with initial parameter values.</dd>


<dt>fixed</dt>
<dd>List of parameters to be held fixed (not estimated).</dd>


<dt>param_names</dt>
<dd>Character vector of parameter names needed for the model.</dd>

</dl>

.validate_parameters: Validate parameters for GKw family distributions

Description

Usage

Value

Arguments