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httk: High-Throughput Toxicokinetics
Functions and data tables for simulation and statistical analysis of chemical toxicokinetics ("TK") using data obtained from relatively high throughput, in vitro studies. Both physiologically-based ("PBTK") and empirical (e.g., one compartment) "TK" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability and measurement limitations. Functions are also provided for exporting "PBTK" models to "SBML" and "JARNAC" for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK").
Getting started
Package overview
Pearce et al. 2017 Figures in Partition Coefficient Evaluation"
Ring et al. 2017 AER plotting"
Ring et al. 2017 Age distributions"
Ring et al. 2017 Global sensitivity analysis"
Ring et al. 2017 Global sensitivity analysis plotting"
Ring et al. 2017 Height and weight spline fits and residuals"
Ring et al. 2017 Hematocrit spline fits and residuals"
Ring et al. 2017 Plotting Css95"
Ring et al. 2017 Plotting Howgate/Johnson data"
Ring et al. 2017 Serum creatinine spline fits and residuals"
Ring et al. 2017 Vignette 1: Generating subpopulations"
Ring et al. 2017 Vignette 2: Evaluating HTTK models for subpopulations"
Ring et al. 2017 Vignette 3: Generating Figure 2"
Ring et al. 2017 Vignette 4: Generating Figure 3"
Ring et al. 2017 Virtual study populations"
Wambaugh et al. (2018): Creating All Figures"
Browse package contents
Package details |
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| Author | John Wambaugh, Robert Pearce, Caroline Ring, Jimena Davis, Nisha Sipes, and R. Woodrow Setzer |
| Maintainer | John Wambaugh <[email protected]> |
| License | GPL-3 |
| Version | 1.8 |
| Package repository | View on CRAN |
| Installation |
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