<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>wambaughul.r-universe.dev</title><link>https://wambaughul.r-universe.dev</link><description>Recent package updates in wambaughul</description><generator>R-universe</generator><image><url>https://github.com/wambaughul.png</url><title>R packages by wambaughul</title><link>https://wambaughul.r-universe.dev</link></image><lastBuildDate>Wed, 10 Dec 2025 21:39:07 GMT</lastBuildDate><item><title>[wambaughul] httkexamples 0.0.1</title><author>john.wambaugh@ul.org (John Wambaugh)</author><description>High throughput toxicokinetics (&quot;HTTK&quot;) 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)
(&lt;doi:10.18637/jss.v079.i04&gt;) and Breen et al. (2021)
(&lt;doi:10.1080/17425255.2021.1935867&gt;). 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)
(&lt;doi:10.1371/journal.pone.0321321&gt;), whenever a new HTTK model
is developed, the code to generate the figures evaluating that
model is added as a new vignettte.</description><link>https://github.com/r-universe/wambaughul/actions/runs/39240881987</link><pubDate>Wed, 10 Dec 2025 21:39:07 GMT</pubDate><r:package>httkexamples</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://wambaughul.r-universe.dev</r:repository><r:upstream>https://github.com/cran/httkexamples</r:upstream><r:article><r:source>Va_Pearce2017.Rmd</r:source><r:filename>Va_Pearce2017.html</r:filename><r:title>Pearce et al. (2017): Updated v79i04.R Examples</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vb_Ring2017.Rmd</r:source><r:filename>Vb_Ring2017.html</r:filename><r:title>Ring et al. (2017) HTTK-Pop: Generating subpopulations</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vc_Pearce2017.Rmd</r:source><r:filename>Vc_Pearce2017.html</r:filename><r:title>Pearce et al. (2017): Evaluation of Tissue Partitioning</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vd_Wambaugh2018.Rmd</r:source><r:filename>Vd_Wambaugh2018.html</r:filename><r:title>Wambaugh et al. (2018): Evaluating In Vitro-In Vivo Extrapolation</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Ve_Frank2019.Rmd</r:source><r:filename>Ve_Frank2019.html</r:filename><r:title>Frank et al. (2018): Neuronal Network IVIVE</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vf_Honda2019.Rmd</r:source><r:filename>Vf_Honda2019.html</r:filename><r:title>Honda et al. (2019): Updated Armitage et al. (2014) Model</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vg_Wambaugh2019.Rmd</r:source><r:filename>Vg_Wambaugh2019.html</r:filename><r:title>Wambaugh et al. (2019): Uncertainty Monte Carlo</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vh_Linakis2020.Rmd</r:source><r:filename>Vh_Linakis2020.html</r:filename><r:title>Linakis et al. (2020): High Throughput Inhalation Model</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vi_Kapraun2022.Rmd</r:source><r:filename>Vi_Kapraun2022.html</r:filename><r:title>Kapraun et al. (2022): Generic Human Gestational Model</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vj_Truong2025.Rmd</r:source><r:filename>Vj_Truong2025.html</r:filename><r:title>Truong et al. (2025): Full Human Gestational IVIVE</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vk_WambaughSubmitted.Rmd</r:source><r:filename>Vk_WambaughSubmitted.html</r:filename><r:title>Wambaugh (Submitted): HTTK for PFAS</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vl_MeadeSubmitted.Rmd</r:source><r:filename>Vl_MeadeSubmitted.html</r:filename><r:title>Meade (submitted): High Throughput Dermal Exposure Model</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article><r:article><r:source>Vm_SchererSubmitted.Rmd</r:source><r:filename>Vm_SchererSubmitted.html</r:filename><r:title>Characterizing Accuracy of Model Predictions for Chemical Concentration in High Throughput Screening Assays</r:title><r:created>2025-12-10 21:39:07</r:created><r:modified>2025-12-10 21:39:07</r:modified></r:article></item></channel></rss>