doi:10.1021/es103092a> and implementation using Bayesian inference in Baudrot and Charles (2019) <doi:10.1038/s41598-019-47698-0>.">

morseTKTD: Bayesian Inference of TKTD Models (original) (raw)

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>.

Version: 0.1.3
Depends: R (≥ 3.5.0)
Imports: deSolve, ggplot2, gridExtra, methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.4.0), testthat, zoo
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: knitr, rmarkdown, xml2
Published: 2025-06-04
DOI: 10.32614/CRAN.package.morseTKTD
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Benoit Goussen [ctb], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Alexander Singer [ctb], Philippe Veber [aut]
Maintainer: Virgile Baudrot <virgile.baudrot at qonfluens.com>
License: AGPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README,
CRAN checks: morseTKTD results

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