Modelling Reproduction and Survival Data in Ecotoxicology R package morse version 3.3.5 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>. Software Depends: R (>= 4.0.0) Imports: coda, deSolve, dplyr, epitools, graphics, grDevices, ggplot2 (>= 2.1.0), grid, gridExtra, magrittr, methods, reshape2, rjags (>= 4.0), stats, tibble, tidyr, zoo Suggests: knitr, rmarkdown, testthat Virgile Baudrot <virgile.baudrot@qonfluens.com> Comprehensive R Archive Network (CRAN) Virgile Baudrot [aut, cre], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Wandrille Duchemin [ctb], Benoit Goussen [ctb], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Ruiz [ctb], Alexander Singer [ctb], Philippe Veber [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=morse/LICENSE) 2026-01-14 application/tgz https://CRAN.R-project.org/package=morse doi:10.32614/CRAN.package.morse