start_parallel

Should the parallel functionality start up?

parallel

How many cores to use. Default is
<code>parallel::detectCores()</code>. See <code><a rd-options="parallel" href="/link/detectCores?package=PopED&version=0.6.0&to=parallel" data-mini-rdoc="parallel::detectCores">detectCores</a></code> for more information.

num_cores

Which type of parallelization should be used? Can be
"snow" or "multicore". "snow" works on Linux-like systems &amp; Windows.
"multicore" works only on Linux-like systems. By default this is chosen
for you depending on your operating system.

parallel_type

seed

If the computations require compiled code (DLL's) and you are
using the "snow" method then you need to specify the name of the DLL's without 
the extension as a text vector <code>c("this_file","that_file")</code>.

dlls

If the computations require a mrgsolve model and you 
are using the "snow" method" then you need to specify the name of the model 
object created by <code>mread</code> or <code>mcode</code>

mrgsolve_model

Arguments passed to <code><a rd-options="parallel" href="/link/makeCluster?package=PopED&version=0.6.0&to=parallel" data-mini-rdoc="parallel::makeCluster">makeCluster</a></code>

This tool chooses the type of parallelization process to use based on the
computer OS being used. For windows the default is "snow" and for Linux-like
systems the default is "multicore"

Optimal experimental designs for both population and individual
studies based on nonlinear mixed-effect models. Often this is based on a
computation of the Fisher Information Matrix. This package was developed
for pharmacometric problems, and examples and predefined models are available
for these types of systems. The methods are described in Nyberg et al.
(2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004)
<doi:10.1016/S0169-2607(03)00073-7>.

Andrew C. Hooker

PopED

Population (and Individual) Optimal Experimental Design

Marco Foracchia

Eric Stroemberg

Martin Fink

Giulia Lestini

Sebastian Ueckert

Joakim Nyberg

start_parallel function

<dl><dt>parallel</dt>
<dd>Should the parallel functionality start up?</dd>
<dt>num_cores</dt>
<dd>How many cores to use. Default is
<code><a href="/link/parallel%3A%3AdetectCores()?package=PopED&version=0.6.0" data-mini-rdoc="PopED::parallel::detectCores()">parallel::detectCores()</a></code>. See <code><a href="/link/detectCores?package=PopED&version=0.6.0" data-mini-rdoc="PopED::detectCores">detectCores</a></code> for more information.</dd>
<dt>parallel_type</dt>
<dd>Which type of parallelization should be used? Can be
"snow" or "multicore". "snow" works on Linux-like systems &amp; Windows.
"multicore" works only on Linux-like systems. By default this is chosen
for you depending on your operating system.</dd>
<dt>seed</dt>
<dd>The random seed to use.</dd>
<dt>dlls</dt>
<dd>If the computations require compiled code (DLL's) and you are
using the "snow" method then you need to specify the name of the DLL's without 
the extension as a text vector <code>c("this_file","that_file")</code>.</dd>
<dt>mrgsolve_model</dt>
<dd>If the computations require a mrgsolve model and you 
are using the "snow" method" then you need to specify the name of the model 
object created by <code>mread</code> or <code>mcode</code></dd>
<dt>...</dt>
<dd>Arguments passed to <code><a href="/link/makeCluster?package=PopED&version=0.6.0" data-mini-rdoc="PopED::makeCluster">makeCluster</a></code></dd></dl>

Arguments

Start parallel computational processes — start_parallel

<dl>

<dt>parallel</dt>
<dd>Should the parallel functionality start up?</dd>


<dt>num_cores</dt>
<dd>How many cores to use. Default is
<code><a href='https://rdrr.io/r/parallel/detectCores.html'>parallel::detectCores()</a></code>. See <code><a href='https://rdrr.io/r/parallel/detectCores.html'>detectCores</a></code> for more information.</dd>


<dt>parallel_type</dt>
<dd>Which type of parallelization should be used? Can be
"snow" or "multicore". "snow" works on Linux-like systems &amp; Windows.
"multicore" works only on Linux-like systems. By default this is chosen
for you depending on your operating system.</dd>


<dt>seed</dt>
<dd>The random seed to use.</dd>


<dt>dlls</dt>
<dd>If the computations require compiled code (DLL's) and you are
using the "snow" method then you need to specify the name of the DLL's without 
the extension as a text vector <code>c("this_file","that_file")</code>.</dd>


<dt>mrgsolve_model</dt>
<dd>If the computations require a mrgsolve model and you 
are using the "snow" method" then you need to specify the name of the model 
object created by <code>mread</code> or <code>mcode</code></dd>


<dt>...</dt>
<dd>Arguments passed to <code><a href='https://rdrr.io/r/parallel/makeCluster.html'>makeCluster</a></code></dd>

</dl>

start_parallel: Start parallel computational processes

Description

Usage

Value

Arguments