Functions and data tables for simulation and statistical analysis of chemical toxicokinetics ("TK") as in Pearce et al. (2017) <doi:10.18637/jss.v079.i04>. Chemical-specific in vitro data have been obtained from relatively high throughput experiments. 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 (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and measurement limitations. Calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (e.g., Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).
| Version: | 1.9.1 |
| Depends: | R (≥ 2.10) |
| Imports: | deSolve, msm, data.table, survey, mvtnorm, truncnorm, stats, utils, magrittr |
| Suggests: | ggplot2, knitr, rmarkdown, R.rsp, GGally, gplots, scales, EnvStats, MASS, RColorBrewer, TeachingDemos, classInt, ks, reshape2, gdata, viridis, CensRegMod, gmodels, colorspace |
| Published: | 2019-04-17 |
| Author: | John Wambaugh [aut, cre], Robert Pearce [aut], Caroline Ring [aut], Greg Honda [aut], Jimena Davis [ctb], Nisha Sipes [ctb], Barbara Wetmore [ctb], Woodrow Setzer [ctb] |
| Maintainer: | John Wambaugh <wambaugh.john at epa.gov> |
| BugReports: | https://github.com/USEPA/CompTox-ExpoCast-httk |
| License: | GPL-3 |
| URL: | https://www.epa.gov/chemical-research/rapid-chemical-exposure-and-dose-research |
| NeedsCompilation: | yes |
| Citation: | httk citation info |
| Materials: | NEWS |
| CRAN checks: | httk results |
| Reference manual: | httk.pdf |
| Vignettes: |
Honda et al. (submitted): Updated Armitage et al. (2014) Model Creating Partition Coefficient Evaluation Plots Age distributions Global sensitivity analysis Global sensitivity analysis plotting Height and weight spline fits and residuals Hematocrit spline fits and residuals Plotting Css95 Serum creatinine spline fits and residuals Generating subpopulations Evaluating HTTK models for subpopulations Generating Figure 2 Generating Figure 3 Plotting Howgate/Johnson data AER plotting Virtual study populations Wambaugh et al. (2018): Creating All Figures |
| Package source: | httk_1.9.1.tar.gz |
| Windows binaries: | r-devel: httk_1.9.zip, r-release: httk_1.9.zip, r-oldrel: httk_1.9.1.zip |
| OS X binaries: | r-release: httk_1.9.1.tgz, r-oldrel: httk_1.9.tgz |
| Old sources: | httk archive |
| Reverse imports: | plethem |
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