latrend-parallel

The model estimation functions support parallel computation through the use of the <a rd-options="foreach" href="/link/foreach?package=latrend&version=1.1.2&to=foreach" data-mini-rdoc="foreach::foreach">foreach</a> mechanism.
In order to make use of parallel execution, a parallel back-end must be registered.

A framework for clustering longitudinal datasets in a standardized way. Provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.

Niek Den Teuling

latrend

A Framework for Clustering Longitudinal Data

Steffen Pauws

Edwin van den Heuvel

Copyright <c2><a9> 2021 Koninklijke Philips N.V.

latrend-parallel function

On Windows, the <a rd-options="parallel" href="/link/parallel-package?package=latrend&version=1.1.2&to=parallel" data-mini-rdoc="parallel::parallel-package">parallel-package</a> can be used to define parallel socket workers.<pre>
nCores = parallel::detectCores(logical = FALSE)
cl = parallel::makeCluster(nCores - 1)
parallel::clusterEvalQ(cl, expr=library(latrend))
</pre>Then, register the cluster as the parallel back-end using the <code>doParallel</code> package:<pre>
doParallel::registerDoParallel(cl)
</pre>If you defined your own <code>lcMethod</code> or <code>lcModel</code> extension classes, make sure to load them on the workers as well.
This can be done, for example, using:<pre>
parallel::clusterEvalQ(cl,
 expr = setClass('lcMethodMyImpl', contains = "lcMethod"))
</pre>

Windows

On Unix systems, it is easier to setup parallelization as the R process is forked.
In this example we use the <code>doMC</code> package:<pre>
nCores = parallel::detectCores(logical = FALSE)
doMC::registerDoMC(nCores - 1)
</pre>

Unix

The model estimation functions support parallel computation through the use of the <a rd-options='foreach' href='foreach'>foreach</a> mechanism.
In order to make use of parallel execution, a parallel back-end must be registered.

latrend-parallel: Parallel computing using latrend

Description

Arguments

Windows

Unix

See Also