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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "morseDR" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'morseDR: Bayesian Inference of Binary, Count and Continuous Data in Toxicology'
version: 0.1.2
doi: 10.32614/CRAN.package.morseDR
abstract: 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.
authors:
- family-names: Baudrot
  given-names: Virgile
  email: virgile.baudrot@qonfluens.com
- family-names: Charles
  given-names: Sandrine
- family-names: Delignette-Muller
  given-names: Marie Laure
- family-names: Veber
  given-names: Philippe
repository: https://virgile-baudrot.r-universe.dev
commit: c4a4ecc1e6e742863370e0b417e8f77dba8adcac
date-released: '2025-05-29'
contact:
- family-names: Baudrot
  given-names: Virgile
  email: virgile.baudrot@qonfluens.com