rmclapply: rmclapply: Cross-platform mclapply/forking hack for Windows
In FBMS: Flexible Bayesian Model Selection and Model Averaging
rmclapply R Documentation
rmclapply: Cross-platform mclapply/forking hack for Windows
Description
This function applies a function in parallel to a list or vector (X) using multiple cores.
On Linux/macOS, it uses mclapply, while on Windows it uses a hackish version of parallelism.
The Windows version is based on parLapply to mimic forking following Nathan VanHoudnos.
Usage
rmclapply(runs, args, fun, mc.cores = NULL)
Arguments
runs
The runs to run
args
The arguments to pass to fun
fun
The function to run
mc.cores
Number of cores to use for parallel processing. Defaults to detectCores().
Value
A list of results, with one element for each element of X.
FBMS documentation built on Sept. 13, 2025, 1:09 a.m.
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| rmclapply | R Documentation |
rmclapply: Cross-platform mclapply/forking hack for Windows
Description
This function applies a function in parallel to a list or vector (X) using multiple cores.
On Linux/macOS, it uses mclapply, while on Windows it uses a hackish version of parallelism.
The Windows version is based on parLapply to mimic forking following Nathan VanHoudnos.
Usage
rmclapply(runs, args, fun, mc.cores = NULL)
Arguments
runs |
The runs to run |
args |
The arguments to pass to fun |
fun |
The function to run |
mc.cores |
Number of cores to use for parallel processing. Defaults to |
Value
A list of results, with one element for each element of X.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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