select_best_mixture

Select best mixture model (lognormal or normal) based on BIC

Fits, bootstraps, and evaluates two-component normal and lognormal mixture models. Includes diagnostic plots and statistical evaluation of mixture model fits using differential evolution optimization.

Farrokh Habibzadeh

DEmixR

Fit Two-Component Normal and Lognormal Mixture Models

select_best_mixture function

<dl><dt>x</dt>
<dd>numeric vector</dd>
<dt>n_runs</dt>
<dd>number of DEoptim runs</dd>
<dt>NP</dt>
<dd>population size for DEoptim</dd>
<dt>itermax</dt>
<dd>maximum iterations</dd>
<dt>quiet</dt>
<dd>verbosity</dd></dl>

Arguments

Select best mixture model (lognormal or normal) based on BIC — select_best_mixture

<dl>

<dt>x</dt>
<dd>numeric vector</dd>


<dt>n_runs</dt>
<dd>number of DEoptim runs</dd>


<dt>NP</dt>
<dd>population size for DEoptim</dd>


<dt>itermax</dt>
<dd>maximum iterations</dd>


<dt>quiet</dt>
<dd>verbosity</dd>

</dl>

select_best_mixture: Select best mixture model (lognormal or normal) based on BIC

Description

Usage

Value

Arguments