Imports: SparseM, Matrix, parallel, utils, methods, graphics,

Description: Functions for the management and treatment of hydrology and
meteorology time-series stored in a 'Sqlite' data base.
Imports: dplyr, tibble, ggplot2, readr, stringr, purrr, lubridate,
RSQLite, DBI, RODBC, zoo, utils, stats, WriteXLS, readxl,
RColorBrewer, grDevices, directlabels, openair, raster,

Author: John Wambaugh and Robert Pearce, Schmitt method implementation by Jimena Davis, dynamic model adapted from code by R. Woodrow Setzer, Rabbit parameters from Nisha Sipes
Description: Functions and data tables for simulation and statistical analysis of chemical toxicokinetics (TK) using data obtained from relatively high throughput, in vitro studies. Both physiologically-based (PBTK) and empirical (e.g., one compartment) TK models can be parameterized for sevral hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability and measurment limitations. Functions are also provided for exporting PBTK models to SBML and JARNAC for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation (IVIVE) of high throughput screening data  (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK").

Description: Functions and data tables for simulation and statistical analysis
of chemical toxicokinetics ("TK") as in Pearce et al. (2017)
data have been obtained from relatively high throughput
experiments. Both physiologically-based ("PBTK") and empirical
(e.g., one compartment) "TK" models can be parameterized for
several hundred chemicals and multiple species. These models are
solved efficiently, often using compiled (C-based) code. A Monte
Carlo sampler is included for simulating biological variability
and measurement limitations. Calibrated methods are included for
predicting tissue:plasma partition coefficients and volume of
These functions and data provide a set of tools for
in vitro-in vivo extrapolation ("IVIVE") of high throughput
screening data (e.g., Tox21, ToxCast) to real-world exposures via
person("John", "Wambaugh", email = "wambaugh.john@epa.gov", role = c("aut", "cre")),
person("Robert", "Pearce", role = c("aut")),
person("Caroline", "Ring", email = "cring@toxstrategies.com", role = c("aut")),
person("Greg", "Honda", email = "honda.gregory@epa.gov", role = c("aut")),
person("Mark", "Sfeir", email = "sfeir.mark@epa.gov", role = c("aut")),
person("Jimena", "Davis", role = c("ctb")),
person("James", "Sluka", email = "jsluka@indiana.edu", role = c("ctb")),
person("Nisha", "Sipes", email = "nisha.sipes@nih.gov", role = c("ctb")),
person("Barbara", "Wetmore", email = "wetmore.barbara@epa.gov", role = c("ctb")),
person("Woodrow", "Setzer", role = c("ctb"))
Imports: deSolve, msm, data.table, survey, mvtnorm, truncnorm, stats,
Suggests: ggplot2, knitr, rmarkdown, R.rsp, GGally, gplots, scales,
EnvStats, MASS, RColorBrewer, TeachingDemos, classInt, ks,
stringr, reshape, reshape2, gdata, viridis, CensRegMod,