extract_par_vals

Extract parameter values out of the result of a maximum likelihood inference
run

Simultaneously infers state-dependent diversification across
two or more states of a single or multiple traits while accounting for the
role of a possible concealed trait. See Herrera-Alsina et al. (2019)
<doi:10.1093/sysbio/syy057>.

Rampal Etienne

secsse

Several Examined and Concealed States-Dependent Speciation and
Extinction

Leonel Herrera Alsina

Paul van Els

Thijs Janzen

Hanno Hildenbrandt

Pedro Santos Neves

Rampal S. Etienne

extract_par_vals function

<dl><dt>param_posit</dt>
<dd>initial parameter structure, consisting of a list with
three entries:<ol>
<li>lambda matrices</li>
<li>mus</li>
<li>Q matrix</li>
</ol></dd>In each entry, integers numbers (1-n) indicate the parameter to be
optimized.
<dt>ml_pars</dt>
<dd>resulting parameter estimates as returned by for instance
<code>cla_secsse_ml()</code>, having the same structure as <code>param_post</code>.</dd></dl>

Arguments

Extract parameter values out of the result of a maximum likelihood inference
run — extract_par_vals

<dl>

<dt>param_posit</dt>
<dd>initial parameter structure, consisting of a list with
three entries:<ol>
<li>lambda matrices</li>
<li>mus</li>
<li>Q matrix</li>
</ol>

In each entry, integers numbers (1-n) indicate the parameter to be
optimized.</dd>


<dt>ml_pars</dt>
<dd>resulting parameter estimates as returned by for instance
<code>cla_secsse_ml()</code>, having the same structure as <code>param_post</code>.</dd>

</dl>

extract_par_vals: Extract parameter values out of the result of a maximum likelihood inference run

Description

Usage

Value

Arguments