httk (1.10.0)

High-Throughput Toxicokinetics.

https://www.epa.gov/chemical-research/rapid-chemical-exposure-and-dose-research
http://cran.r-project.org/web/packages/httk

Functions and data tables for simulation and statistical analysis of chemical toxicokinetics ("TK") as in Pearce et al. (2017) . 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 ) and measurement limitations. Calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 ). 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 ).

Maintainer: John Wambaugh
Author(s): John Wambaugh [aut, cre], Robert Pearce [aut], Caroline Ring [aut], Greg Honda [aut], Mark Sfeir [aut], Jimena Davis [ctb], James Sluka [ctb], Nisha Sipes [ctb], Barbara Wetmore [ctb], Woodrow Setzer [ctb]

License: GPL-3

Uses: data.table, deSolve, magrittr, msm, mvtnorm, survey, truncnorm, R.rsp, RColorBrewer, TeachingDemos, classInt, colorspace, gdata, ggplot2, gmodels, gplots, ks, reshape, MASS, stringr, GGally, reshape2, scales, knitr, CensRegMod, EnvStats, rmarkdown, viridis

Released 12 days ago.