bg_mclapply

Multicore lapply in the background

Simulation from an 'mrgsolve'
<https://cran.r-project.org/package=mrgsolve> model using a parallel backend.
Input data sets are split (chunked) and simulated in parallel using
mclapply() or future_lapply()
<https://cran.r-project.org/package=future.apply>.

Kyle Baron

mrgsim.parallel

Simulate with 'mrgsolve' in Parallel

bg_mclapply function

<dl><dt>X</dt>
<dd>A list.</dd>
<dt>FUN</dt>
<dd>The function to be applied to each element of <code>X</code>.</dd>
<dt>mc.cores</dt>
<dd>Passed to <code><a href="/link/parallel%3A%3Amclapply()?package=mrgsim.parallel&version=0.3.0" data-mini-rdoc="mrgsim.parallel::parallel::mclapply()">parallel::mclapply()</a></code>.</dd>
<dt>...</dt>
<dd>Arguments passed to <code>FUN</code>.</dd>
<dt>.wait</dt>
<dd>If <code>FALSE</code>, the function returns immediately; if <code>TRUE</code>, then
wait until the background job is finished.</dd>
<dt>.seed</dt>
<dd>A <code>numeric</code> value used to set the seed for the simulation;
this is the only way to control the random number generation for your
simulation.</dd></dl>

Arguments

Multicore lapply in the background — bg_mclapply

<dl>

<dt>X</dt>
<dd>A list.</dd>


<dt>FUN</dt>
<dd>The function to be applied to each element of <code>X</code>.</dd>


<dt>mc.cores</dt>
<dd>Passed to <code><a href='https://rdrr.io/r/parallel/mclapply.html'>parallel::mclapply()</a></code>.</dd>


<dt>...</dt>
<dd>Arguments passed to <code>FUN</code>.</dd>


<dt>.wait</dt>
<dd>If <code>FALSE</code>, the function returns immediately; if <code>TRUE</code>, then
wait until the background job is finished.</dd>


<dt>.seed</dt>
<dd>A <code>numeric</code> value used to set the seed for the simulation;
this is the only way to control the random number generation for your
simulation.</dd>

</dl>

bg_mclapply: Multicore lapply in the background

Description

Usage

Value

Arguments

Examples