Package: morseDR
Title: Bayesian Inference of Binary, Count and Continuous Data in
        Toxicology
Version: 0.1.2
Authors@R: c(
    person("Virgile", "Baudrot", , "virgile.baudrot@qonfluens.com", role = c("aut", "cre")),
    person("Sandrine", "Charles", role = "aut"),
    person("Marie Laure", "Delignette-Muller", role = "aut"),
    person("Nils", "Kehrein", role = "ctb"),
    person("Guillaume", "Kon-Kam-King", role = "ctb"),
    person("Christelle", "Lopes", role = "ctb"),
    person("Philippe", "Veber", role = "aut")
  )
Description: Advanced methods for a valuable quantitative environmental
    risk assessment using Bayesian inference of several type of
    toxicological data. 'binary' (e.g., survival, mobility), 'count'
    (e.g., reproduction) and 'continuous' (e.g., growth as length,
    weight).  Estimation procedures can be used without a deep knowledge
    of their underlying probabilistic model or inference methods. Rather,
    they were designed to behave as well as possible without requiring a
    user to provide values for some obscure parameters. That said, models
    can also be used as a first step to tailor new models for more
    specific situations.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: coda, ggplot2, grDevices, methods, rjags, stats
Suggests: GGally, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-05-27 06:56:20 UTC; virgile
Author: Virgile Baudrot [aut, cre],
  Sandrine Charles [aut],
  Marie Laure Delignette-Muller [aut],
  Nils Kehrein [ctb],
  Guillaume Kon-Kam-King [ctb],
  Christelle Lopes [ctb],
  Philippe Veber [aut]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>
Repository: CRAN
Date/Publication: 2025-05-29 08:50:06 UTC
Built: R 4.6.0; ; 2026-04-28 07:14:56 UTC; unix
