PriorPosterior

priorPosterior

priorPosterior.SurvFit

This is the generic <code>pp</code> S3 method for the <code>survFitTT</code> class. It
plots the predicted values with 95 \
values for <code>SurvFit</code> objects.
The coordinates of black points are the observed values of the number of survivors
(pooled replicates) for a given concentration (\(X\)-axis) and the corresponding
predicted values (\(Y\)-axis). 95\
value, colored in green if this interval contains the observed value and in red
otherwise.
The bisecting line (y = x) is added to the plot in order to see if each
prediction interval contains each observed value. As replicates are shifted
on the x-axis, this line is represented by steps.

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

PriorPosterior 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

Return Prior and Posterior density of parameters of SurvFit object — PriorPosterior

<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>

Return Prior and Posterior density of parameters of <code>SurvFit</code> object

PriorPosterior: Return Prior and Posterior density of parameters of `SurvFit` object

Description

Usage

Value

Arguments