bootstrap_mix2

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

bootstrap_mix2 function

<dl><dt>fit</dt>
<dd>fitted object from fit_lognorm2 or fit_norm2</dd>
<dt>x</dt>
<dd>numeric vector (if fit not provided)</dd>
<dt>par</dt>
<dd>numeric vector of parameters (if fit not provided)</dd>
<dt>family</dt>
<dd>"lognormal" or "normal" (if fit not provided)</dd>
<dt>B</dt>
<dd>number of bootstrap replicates</dd>
<dt>parametric</dt>
<dd>logical, parametric bootstrap if TRUE</dd>
<dt>boot_size</dt>
<dd>size or fraction (if between 0 and 1) of bootstrap sample</dd>
<dt>parallelType</dt>
<dd>integer for DEoptim/pbapply parallelism</dd>
<dt>quiet</dt>
<dd>0/1/2 for verbosity</dd>
<dt>ci_level</dt>
<dd>confidence level</dd></dl>

Arguments

Bootstrap mixture parameters — bootstrap_mix2

<dl>

<dt>fit</dt>
<dd>fitted object from fit_lognorm2 or fit_norm2</dd>


<dt>x</dt>
<dd>numeric vector (if fit not provided)</dd>


<dt>par</dt>
<dd>numeric vector of parameters (if fit not provided)</dd>


<dt>family</dt>
<dd>"lognormal" or "normal" (if fit not provided)</dd>


<dt>B</dt>
<dd>number of bootstrap replicates</dd>


<dt>parametric</dt>
<dd>logical, parametric bootstrap if TRUE</dd>


<dt>boot_size</dt>
<dd>size or fraction (if between 0 and 1) of bootstrap sample</dd>


<dt>parallelType</dt>
<dd>integer for DEoptim/pbapply parallelism</dd>


<dt>quiet</dt>
<dd>0/1/2 for verbosity</dd>


<dt>ci_level</dt>
<dd>confidence level</dd>

</dl>

bootstrap_mix2: Bootstrap mixture parameters

Description

Usage

Value

Arguments