wambaugh2019.seem3

These data are a subset of the Bayesian inferences reported by Ring et al.
(2019) (tools:::Rd_expr_doi("10.1021/acs.est.8b04056")) for a consensus model of twelve exposure predictors. The predictors
were calibrated based upon their ability to predict intake rates inferred
National Health and Nutrition Examination Survey (NHANES). They reflect the
population median intake rate (mg/kg body weight/day), with uncertainty.
These data are a subset of the Bayesian inferrences reported by Ring et al.
(2019) for a consensus model of twelve exposue predictors. The predictors
were calibrated based upon their ability to predict intake rates inferred
National Health and Nutrition Examination Survey (NHANES). They reflect the
populaton median intake rate (mg/kg body weight/day), with uncertainty.

data

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.

John Wambaugh

httkexamples

High-Throughput Toxicokinetics Examples

Robert Pearce

Caroline Ring

Greg Honda

Matt Linakis

Dustin Kapraun

Kimberly Truong

Meredith Scherer

Annabel Meade

Celia Schacht

Elaina Kenyon

wambaugh2019.seem3 function

A data frame with 385 rows and 38 variables:
A data frame with 385 rows and 38 variables:

Format

Author

ExpoCast SEEM3 Consensus Exposure Model Predictions for Chemical Intake Rates — wambaugh2019.seem3

ExpoCast SEEM3 Consensus Exposure Model Predictions for Chemical Intake Rates

wambaugh2019.seem3: ExpoCast SEEM3 Consensus Exposure Model Predictions for Chemical Intake Rates

Description

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Author

References