httkpop_mc

Takes the data table generated by <code>httkpop_generate</code>, and converts it
to the corresponding table of HTTK model parameters for a specified chemical
and HTTK model.

Monte-Carlo

httk-pop

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>).

John Wambaugh

httk

High-Throughput Toxicokinetics

Sarah Davidson

Robert Pearce

Caroline Ring

Greg Honda

Mark Sfeir

Matt Linakis

Dustin Kapraun

Miyuki Breen

Shannon Bell

Xiaoqing Chang

Todor Antonijevic

Jimena Davis

James Sluka

Nisha Sipes

Barbara Wetmore

Woodrow Setzer

httkpop_mc function

<dl><dt>model</dt>
<dd>One of the HTTK models: "1compartment", "3compartmentss",
"3compartment", or "pbtk".</dd>
<dt>samples</dt>
<dd>The number of Monte Carlo samples to use (can often think of these
as separate individuals)</dd>
<dt>httkpop.dt</dt>
<dd>A data table generated by <code>httkpop_generate</code>.
This defaults to NULL, in which case <code>httkpop_generate</code> is 
called to generate this table.</dd>
<dt>...</dt>
<dd>Additional arugments passed on to <code>httkpop_generate</code>.</dd></dl>

Arguments

Author

Converts the HTTK-Pop population data table to a table of the parameters
needed by HTTK, for a specific chemical. — httkpop_mc

<dl>

<dt>model</dt>
<dd>One of the HTTK models: "1compartment", "3compartmentss",
"3compartment", or "pbtk".</dd>


<dt>samples</dt>
<dd>The number of Monte Carlo samples to use (can often think of these
as separate individuals)</dd>


<dt>httkpop.dt</dt>
<dd>A data table generated by <code>httkpop_generate</code>.
This defaults to NULL, in which case <code>httkpop_generate</code> is 
called to generate this table.</dd>


<dt>...</dt>
<dd>Additional arugments passed on to <code>httkpop_generate</code>.</dd>

</dl>

Converts the HTTK-Pop population data table to a table of the parameters
needed by HTTK, for a specific chemical.

httkpop_mc: Converts the HTTK-Pop population data table to a table of the parameters needed by HTTK, for a specific chemical.

Description

Usage

Value

Arguments

Author

References

Examples