ppc.SurvFit

This is the generic <code>ppc</code> S3 method for computing Posterior predictive
check. It predicts values with 95 \
values for <code>SurvFit</code> objects.

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

PPC 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></dl>

Arguments

Posterior predictive check methods — PPC

<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>

</dl>

Posterior predictive check methods

PPC: Posterior predictive check methods

Description

Usage

Value

Arguments