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The following pages describe how to install and use the ToxicR package.
For instructions on how to use the continuous model functionality, please see this page.
For instructions on how to use the dichotomous model functionality, please see this page.
For a walkthrough of showing problems with traditional maximum likelihood for continuous models, please see this page.
For a walkthrough of showing problems with traditional maximum likelihood for dichotomous models, please see this page.
ToxicR is built upon various methodologies that are described in the literature. As it is a constant developing package, this section will change as we add new functionality.
Wheeler, M.W., Lim, S., House, J.S., Shockley, K.R., Bailer, A.J., Fostel, J., Yang, L., Talley, D., Raghuraman, A., Gift, J.S. and Davis, J.A., 2023. ToxicR: A computational platform in R for computational toxicology and dose–response analyses. Computational Toxicology, 25, p.100259.
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(9), pp.1706-1722.
Wheeler, M.W. Cortinas,J. Aerts, M. Gift, J.S. Davis J.A., 2022. Continuous Model Averaging for Benchmark Dose Analysis: Averaging Over Distributional Forms. Resubmitted to Environmetrics.
