survFit_TKTD_params

create the table of posterior estimated parameters for the survival analyses

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

survFit_TKTD_params function

<dl><dt>mcmc</dt>
<dd>list of estimated parameters for the model with each item
representing a chain</dd>
<dt>model_type</dt>
<dd>model type <code>SD</code> or <code>IT</code></dd>
<dt>hb_value</dt>
<dd>TRUE or FALSE, conservning the use of hb parameter in the model.</dd></dl>

Arguments

Table of posterior estimated parameters — survFit_TKTD_params

<dl>

<dt>mcmc</dt>
<dd>list of estimated parameters for the model with each item
representing a chain</dd>


<dt>model_type</dt>
<dd>model type <code>SD</code> or <code>IT</code></dd>


<dt>hb_value</dt>
<dd>TRUE or FALSE, conservning the use of hb parameter in the model.</dd>

</dl>

Table of posterior estimated parameters

survFit_TKTD_params: Table of posterior estimated parameters

Description

Usage

Value

Arguments