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morseDR  

Bayesian Inference of Binary, Count and Continuous Data in Toxicology
View on CRAN: Click here


Download and install morseDR package within the R console
Install from CRAN:
install.packages("morseDR")

Install from Github:
library("remotes")
install_github("cran/morseDR")

Install by package version:
library("remotes")
install_version("morseDR", "0.1.3")



Attach the package and use:
library("morseDR")
Maintained by
Virgile Baudrot
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-29
Latest Update: 2025-05-29
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.
How to cite:
Virgile Baudrot (2025). morseDR: Bayesian Inference of Binary, Count and Continuous Data in Toxicology. R package version 0.1.3, https://cran.r-project.org/web/packages/morseDR. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-09-18 18:12), 0.1.2 (2025-05-29 10:50)
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Complete documentation for morseDR
Functions, R codes and Examples using the morseDR R package
Full morseDR package functions and examples
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