plot_prior_post.survFit

Plot posteriors vs priors of a <code>survFit</code> object

Advanced methods for a valuable quantitative environmental risk
assessment using Bayesian inference of survival and reproduction Data. Among
others, it facilitates Bayesian inference of the general unified
threshold model of survival (GUTS). See our companion paper
Baudrot and Charles (2021) <doi:10.21105/joss.03200>,
as well as complementary details in Baudrot et al. (2018)
<doi:10.1021/acs.est.7b05464> and Delignette-Muller et al.
(2017) <doi:10.1021/acs.est.6b05326>.

Virgile Baudrot

morse

Modelling Reproduction and Survival Data in Ecotoxicology

Sandrine Charles

Marie Laure Delignette-Muller

Wandrille Duchemin

Benoit Goussen

Nils Kehrein

Guillaume Kon-Kam-King

Christelle Lopes

Philippe Ruiz

Alexander Singer

Philippe Veber

plot_prior_post.survFit function

<dl><dt>x</dt>
<dd>an object of class <code>survFit</code> used to select a method <code>plot_prior_post</code></dd>
<dt>size_sample</dt>
<dd>Size of the random generation of the distribution.
Default is <code>1e3</code>.</dd>
<dt>EFSA_name</dt>
<dd>If <code>TRUE</code>, replace the current terminology by
the one used in the recent EFSA PPR Scientific Opinion (2018).</dd>
<dt>...</dt>
<dd>Further arguments to be passed to generic methods</dd></dl>

Arguments

Plot posteriors vs priors — plot_prior_post.survFit

<dl>

<dt>x</dt>
<dd>an object of class <code>survFit</code> used to select a method <code>plot_prior_post</code></dd>


<dt>size_sample</dt>
<dd>Size of the random generation of the distribution.
Default is <code>1e3</code>.</dd>


<dt>EFSA_name</dt>
<dd>If <code>TRUE</code>, replace the current terminology by
the one used in the recent EFSA PPR Scientific Opinion (2018).</dd>


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

</dl>

Plot posteriors vs priors

plot_prior_post.survFit: Plot posteriors vs priors

Description

Usage

Value

Arguments

References