Package: httk
Version: 2.1.0
Date: 2022-03-22
Title: High-Throughput Toxicokinetics
Description: Generic models and chemical-specific data for simulation and
             statistical analysis of chemical toxicokinetics ("TK") as
             described by Pearce et al. (2017) <doi:10.18637/jss.v079.i04>.
             Chemical-specific in vitro data have been obtained from relatively
             high-throughput experiments. Both physiologically-based ("PBTK")
             and empirical (for example, one compartment) "TK" models can be
             parameterized with the data provided for thousands of chemicals,
             multiple exposure routes, and various species. The models consist
             of systems of ordinary differential equations which are solved
             using compiled (C-based) code for speed. A Monte Carlo sampler is
             included, which allows for simulating human biological variability
             (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>)
             and propagating parameter uncertainty. Calibrated methods are
             included for predicting tissue:plasma partition coefficients and
             volume of distribution
             (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>).
             These functions and data provide a set of tools for
             in vitro-in vivo extrapolation ("IVIVE") of high-throughput
             screening data (for example, Tox21, ToxCast) to real-world
             exposures via reverse dosimetry (also known as "RTK")
             (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).
Authors@R: c(
           person("John", "Wambaugh", email = "wambaugh.john@epa.gov", 
             role = c("aut", "cre"),
             comment = c(ORCID = "0000-0002-4024-534X")), 
           person("Sarah", "Davidson", email = "davidson.sarah.e@epa.gov", 
             role = c("aut"), comment = c(ORCID = "0000-0002-2891-9380")), 
           person("Robert", "Pearce", role = c("aut"),
             comment = c(ORCID = "0000-0003-3168-4049")), 
           person("Caroline", "Ring", email = "Ring.Caroline@epa.gov", 
             role = c("aut"), comment = c(ORCID = "0000-0002-0463-1251")), 
           person("Greg", "Honda", email = "honda.gregory@epa.gov", 
             role = c("aut"), comment = c(ORCID = "0000-0001-7713-9850")), 
           person("Mark", "Sfeir", 
             role = c("aut")), 
           person("Matt", "Linakis", email = "MLINAKIS@ramboll.com", 
             role = c("aut"), comment = c(ORCID = "0000-0003-0526-2395")), 
           person("Dustin", "Kapraun", email = "kapraun.dustin@epa.gov",
             role = c("aut"), comment = c(ORCID= "0000-0001-5570-6383")),
           person("Miyuki", "Breen", email = "breen.miyuki@epa.gov",
             role = c("ctb"), comment = c(ORCID= "0000-0001-8511-4653")),
           person("Shannon", "Bell", email="Shannon.bell@inotivco.com",
             role = c("ctb"), comment = c(ORCID= "0000-0002-5754-6085")), 
           person("Xiaoqing", "Chang", email="Xiaoqing.chang@inotivco.com",
             role = c("ctb"), comment = c(ORCID = "0000-0003-0752-1848")), 
           person("Todor", "Antonijevic", email="tantonijevic@toxstrategies.com",
             role = c("ctb"), comment = c(ORCID = "0000-0002-0248-8412")),
           person("Jimena", "Davis", role = c("ctb")), 
           person("James", "Sluka", email = "jsluka@indiana.edu", 
             role = c("ctb"), comment = c(ORCID = "0000-0002-5901-1404")), 
           person("Nisha", "Sipes", email = "sipes.nisha@epa.gov", 
             role = c("ctb"), comment = c(ORCID = "0000-0003-4203-6426")), 
           person("Barbara", "Wetmore", email = "wetmore.barbara@epa.gov", 
             role = c("ctb"), comment = c(ORCID = "0000-0002-6878-5348")), 
           person("Woodrow", "Setzer", email = "setzer.woodrow@epa.gov",
             role = c("ctb"), comment = c(ORCID = "0000-0002-6709-9186"))
           )
Depends: R (>= 2.10)
Imports: deSolve, msm, data.table, survey, mvtnorm, truncnorm, stats,
        graphics, utils, magrittr, purrr, methods, Rdpack
RdMacros: Rdpack
Suggests: ggplot2, knitr, rmarkdown, R.rsp, GGally, gplots, scales,
        EnvStats, MASS, RColorBrewer, TeachingDemos, classInt, ks,
        stringr, reshape, reshape2, viridis, CensRegMod, gmodels,
        colorspace, cowplot, ggrepel, dplyr, forcats, smatr, gridExtra,
        testthat
License: GPL-3
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
VignetteBuilder: knitr, R.rsp
RoxygenNote: 7.1.1
URL:
        https://www.epa.gov/chemical-research/rapid-chemical-exposure-and-dose-research
BugReports: https://github.com/USEPA/CompTox-ExpoCast-httk
NeedsCompilation: yes
Packaged: 2022-03-26 00:50:11 UTC; jwambaug
Author: John Wambaugh [aut, cre] (<https://orcid.org/0000-0002-4024-534X>),
  Sarah Davidson [aut] (<https://orcid.org/0000-0002-2891-9380>),
  Robert Pearce [aut] (<https://orcid.org/0000-0003-3168-4049>),
  Caroline Ring [aut] (<https://orcid.org/0000-0002-0463-1251>),
  Greg Honda [aut] (<https://orcid.org/0000-0001-7713-9850>),
  Mark Sfeir [aut],
  Matt Linakis [aut] (<https://orcid.org/0000-0003-0526-2395>),
  Dustin Kapraun [aut] (<https://orcid.org/0000-0001-5570-6383>),
  Miyuki Breen [ctb] (<https://orcid.org/0000-0001-8511-4653>),
  Shannon Bell [ctb] (<https://orcid.org/0000-0002-5754-6085>),
  Xiaoqing Chang [ctb] (<https://orcid.org/0000-0003-0752-1848>),
  Todor Antonijevic [ctb] (<https://orcid.org/0000-0002-0248-8412>),
  Jimena Davis [ctb],
  James Sluka [ctb] (<https://orcid.org/0000-0002-5901-1404>),
  Nisha Sipes [ctb] (<https://orcid.org/0000-0003-4203-6426>),
  Barbara Wetmore [ctb] (<https://orcid.org/0000-0002-6878-5348>),
  Woodrow Setzer [ctb] (<https://orcid.org/0000-0002-6709-9186>)
Maintainer: John Wambaugh <wambaugh.john@epa.gov>
Copyright: This package is primarily developed by employees of the U.S.
        Federal government as part of their official duties and is
        therefore public domain.
Repository: CRAN
Date/Publication: 2022-03-26 01:20:02 UTC
Built: R 4.0.5; x86_64-apple-darwin17.0; 2022-03-26 10:39:33 UTC; unix
Archs: httk.so.dSYM
