priors_distribution

Return a <code>data.frame</code> with prior density distributions of parameters used in
<code>object</code>.

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_distribution function

<dl><dt>object</dt>
<dd>An object used to select a method</dd>
<dt>...</dt>
<dd>Further arguments to be passed to generic methods</dd></dl>

Arguments

Density distribution of priors. — priors_distribution

<dl>

<dt>object</dt>
<dd>An object used to select a method</dd>


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

</dl>

Density distribution of priors.

priors_distribution: Density distribution of priors.

Description

Usage

Value

Arguments

Details