Skip to content

httk

High-Throughput Toxicokinetics

v2.7.4 · Dec 8, 2025 · MIT + file LICENSE

Description

Pre-made models that can be rapidly tailored to various chemicals and species using chemical-specific in vitro data and physiological information. These tools allow incorporation of chemical toxicokinetics ("TK") and in vitro-in vivo extrapolation ("IVIVE") into bioinformatics, as described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>). Chemical-specific in vitro data characterizing toxicokinetics have been obtained from relatively high-throughput experiments. The chemical-independent ("generic") physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models included here can be parameterized with in vitro data or in silico predictions which are provided for thousands of chemicals, multiple exposure routes, and various species. High throughput toxicokinetics ("HTTK") is the combination of in vitro data and generic models. We establish the expected accuracy of HTTK for chemicals without in vivo data through statistical evaluation of HTTK predictions for chemicals where in vivo data do exist. The models are systems of ordinary differential equations that are developed in MCSim and solved using compiled (C-based) code for speed. A Monte Carlo sampler is included for simulating human biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and propagating parameter uncertainty (Wambaugh et al., 2019 <doi:10.1093/toxsci/kfz205>). Empirically 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 using IVIVE to convert concentrations from high-throughput screening experiments (for example, Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).

Downloads

CRAN

679

Last 30 days

4683rd

1.5K

Last 90 days

11K

Last year

Trend: +75.5% (30d vs prior 30d)

r2u CRAN

41

Last 30 days

159

Last 90 days

628

Last year

Trend: -52.3% (30d vs prior 30d)

autoCRAN

0

Last 7 days

11

Last 30 days

0

All-time

autoCRAN-only: this name is served only by autoCRAN, so the count is exact.

CRAN Check Status

13 OK
Show all 13 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
ERROR r-devel-linux-x86_64-debian-gcc

PDF version of manual

Rd conversion errors:
Converting parsed Rd's to LaTeX Warning in file(out, "wt") :
  cannot open file '/tmp/RtmpqoQ6zM/file21e4f41d6c4ed6': No space left on device
Warning in file(con, "r") :
  cannot open file '/tmp/RtmpqoQ6zM/file21e4f41d6c4ed6': No such file or directory
Error in file(con, "r") : cannot open the connection
OK 12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 25, 2026
NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  5.1Mb
  sub-directories of 1Mb or more:
    data   2.1Mb
    help   1.5Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.1Mb
  sub-directories of 1Mb or more:
    data   2.1Mb
    help   1.5Mb

Reverse Dependencies (4)

suggests

Dependency Network

Dependencies Reverse dependencies deSolve msm data.table survey mvtnorm truncnorm magrittr purrr Rdpack ggplot2 dplyr httkexamples invivoPKfit GeoTox pksensi httk

Version History

34 tracked
new 2.7.4 Mar 10, 2026
updated 2.7.4 ← 2.7.3 diff Dec 8, 2025
updated 2.7.3 ← 2.7.2 diff Sep 11, 2025
updated 2.7.2 ← 2.7.1 diff Aug 28, 2025
updated 2.7.1 ← 2.7.0 diff Aug 20, 2025
updated 2.7.0 ← 2.6.1 diff Jul 22, 2025
updated 2.6.1 ← 2.6.0 diff Apr 30, 2025
updated 2.6.0 ← 2.5.0 diff Apr 19, 2025
updated 2.5.0 ← 2.4.0 diff Jan 13, 2025
updated 2.4.0 ← 2.3.1 diff Sep 5, 2024
updated 2.3.1 ← 2.3.0 diff Mar 26, 2024
updated 2.3.0 ← 2.2.2 diff Dec 7, 2023
updated 2.2.2 ← 2.2.1 diff Feb 19, 2023
updated 2.2.1 ← 2.2.0 diff Sep 23, 2022
updated 2.2.0 ← 2.1.0 diff Sep 7, 2022