Nothing
README.md
In ToxicR: Analyzing Toxicology Dose-Response Data
Welcome to the Official Git Repository of ToxicR!
What is ToxicR?
ToxicR is an R package that utilizes the core functionality of the US EPA's Benchmark Dose Software and the NTP's BMDexpress, which was developed in unison with researchers from the National Institute of Environmental Health. Unlike those packages, ToxicR is fully interactive and can be used to create custom analysis pipelines within the R programming environment.
Current Release
Version 1.0.4 is the most recent release. For precompiled binaries of this release type "install.packages('ToxicR')" inside R.
Installation
For Windows, the .zip file is compiled in R 4.2.
For macOS, the .tgz file is compiled in R 4.2.
For Linux, the package must be compiled.
For more information, please visit the instructions on the Wiki.
Citing ToxicR
All dose-response methodologies used in ToxicR were developed in the following manuscripts:
Wheeler, M.W., Blessinger, T., Shao, K., Allen, B.C., Olszyk, L., Davis, J.A. and Gift, J.S. (2020), Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose–Response Uncertainty. Risk Analysis, 40: 1706-1722. https://doi.org/10.1111/risa.13537
Wheeler, M. W., Cortiñas Abrahantes, J., Aerts, M., Gift, J. S., & Allen Davis, J. (2022). Continuous model averaging for benchmark dose analysis: Averaging over distributional forms. Environmetrics, e2728. https://doi.org/10.1002/env.2728
Try the ToxicR package in your browser
Any scripts or data that you put into this service are public.
ToxicR documentation built on Dec. 28, 2022, 3:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Welcome to the Official Git Repository of ToxicR!
What is ToxicR?
ToxicR is an R package that utilizes the core functionality of the US EPA's Benchmark Dose Software and the NTP's BMDexpress, which was developed in unison with researchers from the National Institute of Environmental Health. Unlike those packages, ToxicR is fully interactive and can be used to create custom analysis pipelines within the R programming environment.
Current Release
Version 1.0.4 is the most recent release. For precompiled binaries of this release type "install.packages('ToxicR')" inside R.
Installation
For Windows, the .zip file is compiled in R 4.2. For macOS, the .tgz file is compiled in R 4.2. For Linux, the package must be compiled. For more information, please visit the instructions on the Wiki.
Citing ToxicR
All dose-response methodologies used in ToxicR were developed in the following manuscripts:
Wheeler, M.W., Blessinger, T., Shao, K., Allen, B.C., Olszyk, L., Davis, J.A. and Gift, J.S. (2020), Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose–Response Uncertainty. Risk Analysis, 40: 1706-1722. https://doi.org/10.1111/risa.13537
Wheeler, M. W., Cortiñas Abrahantes, J., Aerts, M., Gift, J. S., & Allen Davis, J. (2022). Continuous model averaging for benchmark dose analysis: Averaging over distributional forms. Environmetrics, e2728. https://doi.org/10.1002/env.2728
Try the ToxicR package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.