- httk::EPA.refReference for EPA Physico-Chemical Data
- httk::Frank2018invivoLiterature In Vivo Data on Doses Causing Neurological Effects
- httk::Obach2008Published Pharmacokinetic Parameters from Obach et al. 2008
- httk::Tables.Rdata.stampA timestamp of table creation
- httk::Wetmore2012Published toxicokinetic predictions based on in vitro data from Wetmore et al. 2012.
- httk::armitage_inputArmitage et al. (2014) Model Inputs from Honda et al. (2019)
- httk::aylward2014Aylward et al. 2014
- httk::bmiageCDC BMI-for-age charts
- httk::chem.invivo.PK.aggregate.dataParameter Estimates from Wambaugh et al. (2018)
- httk::chem.invivo.PK.dataPublished toxicokinetic time course measurements
- httk::chem.invivo.PK.summary.dataSummary of published toxicokinetic time course experiments
- httk::chem.physical_and_invitro.dataPhysico-chemical properties and in vitro measurements for toxicokinetics
- httk::concentration_data_Linakis2020Concentration data involved in Linakis 2020 vignette analysis.
- httk::dawson2021Dawson et al. 2021 data
- httk::example.seemSEEM Example Data We can grab SEEM daily intake rate predictions already in RData format from https://github.com/HumanExposure/SEEM3RPackage/tree/main/SEEM3/data Download the file Ring2018Preds.RData
- httk::example.toxcastToxCast Example Data The main page for the ToxCast data is here: https://www.epa.gov/comptox-tools/exploring-toxcast-data Most useful to us is a single file containing all the hits across all chemcials and assays: https://clowder.edap-cluster.com/datasets/6364026ee4b04f6bb1409eda?space=62bb560ee4b07abf29f88fef
- httk::fetalpcsFetal Partition Coefficients
- httk::hct_hKDE bandwidths for residual variability in hematocrit
- httk::honda2023.dataMeasured Caco-2 Apical-Basal Permeability Data
- httk::honda2023.qsprPredicted Caco-2 Apical-Basal Permeabilities
- httk::howgateHowgate 2006
- httk::httk.performanceHistorical Performance of R Package httk
- httk::hw_HKDE bandwidth for residual variability in height/weight
- httk::johnsonJohnson 2006
- httk::kapraun2019Kapraun et al. 2019 data
- httk::mcnally_dtReference tissue masses and flows from tables in McNally et al. 2014.
- httk::mecdtPre-processed NHANES data.
- httk::metabolism_data_Linakis2020Metabolism data involved in Linakis 2020 vignette analysis.
- httk::onlypNHANES Exposure Data
- httk::pc.dataPartition Coefficient Data
- httk::pearce2017regressionPearce et al. 2017 data
- httk::pharmaDRUGS|NORMAN: Pharmaceutical List with EU, Swiss, US Consumption Data
- httk::physiology.dataSpecies-specific physiology parameters
- httk::pksim.pcsPartition Coefficients from PK-Sim
- httk::pradeep2020Pradeep et al. 2020
- httk::pregnonpregaucsAUCs for Pregnant and Non-Pregnant Women
- httk::scr_hKDE bandwidths for residual variability in serum creatinine
- httk::sipes2017Sipes et al. 2017 data
- httk::supptab1_Linakis2020Supplementary output from Linakis 2020 vignette analysis.
- httk::supptab2_Linakis2020More supplementary output from Linakis 2020 vignette analysis.
- httk::tissue.dataTissue composition and species-specific physiology parameters
- httk::wambaugh2019in vitro Toxicokinetic Data from Wambaugh et al. (2019)
- httk::wambaugh2019.nhanesNHANES Chemical Intake Rates for chemicals in Wambaugh et al. (2019)
- httk::wambaugh2019.rawRaw Bayesian in vitro Toxicokinetic Data Analysis from Wambaugh et al. (2019)
- httk::wambaugh2019.seem3ExpoCast SEEM3 Consensus Exposure Model Predictions for Chemical Intake Rates
- httk::wambaugh2019.tox21Tox21 2015 Active Hit Calls (EPA)
- httk::wang2018Wang et al. 2018 Wang et al. (2018) screened the blood of 75 pregnant women for the presence of environmental organic acids (EOAs) and identified mass spectral features corresponding to 453 chemical formulae of which 48 could be mapped to likely structures. Of the 48 with tentative structures the identity of six were confirmed with available chemical standards.
- httk::well_paramMicrotiter Plate Well Descriptions for Armitage et al. (2014) Model
- httk::wflWHO weight-for-length charts
