The model estimation functions support parallel computation through the use of the foreach mechanism. In order to make use of parallel execution, a parallel back-end must be registered.
On Windows, the parallel-package can be used to define parallel socket workers.
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Then, register the cluster as the parallel back-end using the
If you defined your own
lcModel extension classes, make sure to load them on the workers as well.
This can be done, for example, using:
On Unix systems, it is easier to setup parallelization as the R process is forked.
In this example we use the
latrendRep, latrendBatch, latrendBoot, latrendCV
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