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httkexamples: High-Throughput Toxicokinetics Examples

High throughput toxicokinetics ("HTTK") is the combination of 1) chemical-specific in vitro measurements or in silico predictions and 2) generic mathematical models, to predict absorption, distribution, metabolism, and excretion by the body. HTTK methods have been described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>) and Breen et al. (2021) (<doi:10.1080/17425255.2021.1935867>). Here we provide examples (vignettes) applying HTTK to solve various problems in bioinformatics, toxicology, and exposure science. In accordance with Davidson-Fritz et al. (2025) (<doi:10.1371/journal.pone.0321321>), whenever a new HTTK model is developed, the code to generate the figures evaluating that model is added as a new vignettte.

Version:0.0.1
Depends:R (≥ 2.10)
Imports:httk,rmarkdown,knitr,Rdpack
Suggests:dplyr,tidyverse,xlsx,Metrics,ggplot2,ggforce,ggpubr,ggrepel,viridis,ggpubr, grid,ggh4x,readr,ggforce,tidyr,stringr,pracma,cgwtools,openxlsx,ggstar,latex2exp,smatr,reshape,gdata,censReg,gmodels,gplots,scales,colorspace,gridExtra,rvcheck
Published:2025-12-10
DOI:10.32614/CRAN.package.httkexamples
Author:John WambaughORCID iD [aut, cre], Robert PearceORCID iD [aut], Caroline RingORCID iD [aut], Greg HondaORCID iD [aut], Matt LinakisORCID iD [aut], Dustin KapraunORCID iD [aut], Kimberly TruongORCID iD [aut], Meredith SchererORCID iD [aut], Annabel MeadeORCID iD [aut], Celia SchachtORCID iD [aut], Elaina KenyonORCID iD [ctb]
Maintainer:John Wambaugh <john.wambaugh at UL.org>
License:MIT + fileLICENSE
URL:https://chemicalinsights.ul.org/
NeedsCompilation:no
Citation:httkexamples citation info
Materials:README,NEWS
CRAN checks:httkexamples results

Documentation:

Reference manual:httkexamples.html ,httkexamples.pdf
Vignettes:a) Pearce (2017): HTTK Basics (source,R code)
b) Ring (2017) HTTK-Pop: Generating subpopulations (source,R code)
c) Pearce (2017): Evaluation of Tissue Partitioning (source,R code)
d) Wambaugh (2018): Evaluating In Vitro-In Vivo Extrapolation (source,R code)
e) Frank (2018): Neuronal Network IVIVE (source,R code)
f) Honda (2019): Updated Armitage et al. (2014) Model (source,R code)
g) Wambaugh (2019): Uncertainty Monte Carlo (source,R code)
h) Linakis (2020): High Throughput Inhalation Model (source,R code)
i) Kapraun (2022): Human Gestational Model (source,R code)
j) Truong (2025) Full Human Gestational IVIVE (source,R code)
k) Wambaugh (Submitted): HTTK for PFAS (source,R code)
l) Meade (Submitted): High Throughput Dermal Exposure Model (source,R code)
m) Scherer (Submitted): In Vitro Distribution (source,R code)

Downloads:

Package source: httkexamples_0.0.1.tar.gz
Windows binaries: r-devel:httkexamples_0.0.1.zip, r-release:httkexamples_0.0.1.zip, r-oldrel:httkexamples_0.0.1.zip
macOS binaries: r-release (arm64):httkexamples_0.0.1.tgz, r-oldrel (arm64):httkexamples_0.0.1.tgz, r-release (x86_64):httkexamples_0.0.1.tgz, r-oldrel (x86_64):httkexamples_0.0.1.tgz

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