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").

Version: 1.8
Depends: R (≥ 2.10)
Imports: deSolve, msm, data.table, survey, mvtnorm, truncnorm, stats, utils
Suggests: ggplot2, knitr, rmarkdown, R.rsp, GGally, gplots, scales, EnvStats, MASS, RColorBrewer, TeachingDemos, classInt, ks, reshape2, gdata, viridis, CensRegMod, gmodels, colorspace
Published: 2018-01-23
Author: John Wambaugh, Robert Pearce, Caroline Ring, Jimena Davis, Nisha Sipes, and R. Woodrow Setzer
Maintainer: John Wambaugh <wambaugh.john at>
License: GPL-3
NeedsCompilation: yes
Citation: httk citation info
Materials: NEWS
CRAN checks: httk results


Reference manual: httk.pdf
Vignettes: 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. (Submitted): Creating All Figures
Package source: httk_1.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: httk_1.8.tgz, r-oldrel: httk_1.8.tgz
Old sources: httk archive

Reverse dependencies:

Reverse imports: plethem


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