priors_survData

Create a list of scalars giving priors to use in Bayesian inference.

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

priors_survData function

<dl><dt>x</dt>
<dd>An object of class <code>survData</code></dd>
<dt>model_type</dt>
<dd>TKTD model type ('SD' or 'IT')</dd></dl>

Arguments

Create a list of scalars giving priors to use in Bayesian inference. — priors_survData

<dl>

<dt>x</dt>
<dd>An object of class <code>survData</code></dd>


<dt>model_type</dt>
<dd>TKTD model type ('SD' or 'IT')</dd>

</dl>

Create a list of scalars giving priors to use in Bayesian inference.

priors_survData: Create a list of scalars giving priors to use in Bayesian inference.

Description

Usage

Value

Arguments