is_exposure_constant

Test in a well-formed argument to function 'survData' if the concentration
is constant and different from <code>NA</code> for each replicate (each time-serie)

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

is_exposure_constant function

<dl><dt>x</dt>
<dd>an object of class <code>data.frame</code></dd></dl>

Arguments

Test in a well-formed argument to function 'survData' if the concentration
is constant and different from NA for each replicate (each time-serie) — is_exposure_constant

<dl>

<dt>x</dt>
<dd>an object of class <code>data.frame</code></dd>

</dl>

Test in a well-formed argument to function 'survData' if the concentration
is constant and different from <code>NA</code> for each replicate (each time-serie)

is_exposure_constant: Test in a well-formed argument to function 'survData' if the concentration is constant and different from `NA` for each replicate (each time-serie)

Description

Usage

Value

Arguments