.map_gkwreg_to_tmb_param

Map gkwreg parameter index to TMB parameter index

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

.map_gkwreg_to_tmb_param function

<dl><dt>object</dt>
<dd>A fitted model object of class "gkwreg"</dd>
<dt>param_idx</dt>
<dd>Index of the parameter in the gkwreg coefficients vector</dd></dl>

Arguments

Map gkwreg parameter index to TMB parameter index — .map_gkwreg_to_tmb_param

<dl>

<dt>object</dt>
<dd>A fitted model object of class "gkwreg"</dd>


<dt>param_idx</dt>
<dd>Index of the parameter in the gkwreg coefficients vector</dd>

</dl>

.map_gkwreg_to_tmb_param: Map gkwreg parameter index to TMB parameter index

Description

Usage

Value

Arguments