The R Journal: article published in 2016, volume 8:2

mixtox: An R Package for Mixture Toxicity Assessment
Xiang-Wei Zhu and Jian-Yi Chen , The R Journal (2016) 8:2, pages 421-433.

Abstract Mixture toxicity assessment is indeed necessary for humans and ecosystems that are contin ually exposed to a variety of chemical mixtures. This paper describes an R package, called mixtox, which offers a general framework of curve fitting, mixture experimental design, and mixture toxicity prediction for practitioners in toxicology. The unique features of mixtox include: (1) constructing a uniform table for mixture experimental design; and (2) predicting toxicity of a mixture with multiple components based on reference models such as concentration addition, independent action, and generalized concentration addition. We describe the various functions of the package and provide examples to illustrate their use and show the collaboration of mixtox with other existing packages (e.g., drc) in predicting toxicity of chemical mixtures.

Received: 2016-05-10; online 2016-10-21

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2016-056,
  author = {Xiang-Wei Zhu and Jian-Yi Chen},
  title = {{mixtox: An R Package for Mixture Toxicity Assessment}},
  year = {2016},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2016-056},
  url = {https://doi.org/10.32614/RJ-2016-056},
  pages = {421--433},
  volume = {8},
  number = {2}
}