Extract

extract_Nsurv_ppc

extract_Nsurv_sim

extract_param

priors_distribution

priors_distribution.SurvFit

<ul>
<li>extract_Nsurv_ppc: extract the <code>Nsurv</code> generated with the sampler.
To be used for the Posterior Predictive Check (PPC).</li>
<li>extract_Nsurv_sim: extract the <code>Nsurv</code> generated with the sampler.
To be used for the Simulation (sim).</li>
<li>extract_param: extract parameters of <code>SD</code> or <code>IT</code> models.</li>
<li>priors_distribution: Return a <code>data.frame</code> with prior density
distributions of parameters used in the model.</li>
</ul>

Advanced methods for a valuable quantitative environmental risk
assessment using Bayesian inference of survival Data with toxicokinetics
toxicodynamics (TKTD) models. Among others, it facilitates Bayesian inference of
the general unified threshold model of survival (GUTS). See models description
in Jager et al. (2011) <doi:10.1021/es103092a> and implementation
using Bayesian inference in Baudrot and Charles (2019)
<doi:10.1038/s41598-019-47698-0>.

Virgile Baudrot

morseTKTD

Bayesian Inference of TKTD Models

Sandrine Charles

Marie Laure Delignette-Muller

Benoit Goussen

Nils Kehrein

Guillaume Kon-Kam-King

Christelle Lopes

Alexander Singer

Philippe Veber

Extract function

<dl><dt>fit</dt>
<dd>An object of class <code>SurvFit</code></dd>
<dt>...</dt>
<dd>Further arguments to be passed to generic methods</dd>
<dt>size_sample</dt>
<dd>Size of the random generation of the distribution.</dd></dl>

Arguments

Extraction methods to recover output of fit object. — Extract

<dl>

<dt>fit</dt>
<dd>An object of class <code>SurvFit</code></dd>


<dt>...</dt>
<dd>Further arguments to be passed to generic methods</dd>


<dt>size_sample</dt>
<dd>Size of the random generation of the distribution.</dd>

</dl>

Extraction methods to recover output of fit object.

Extract: Extraction methods to recover output of fit object.

Description

Usage

Value

Arguments