setup_parallel {REN} | R Documentation |
Setup Parallel Processing for Portfolio Analysis
Description
This function sets up parallel processing by loading necessary libraries, allowing the user to specify the number of cores to use, and creating a parallel backend for faster computation.
Usage
setup_parallel(num_cores = 7)
Arguments
num_cores |
The default number of cores to use for parallel processing. Default is 7. |
Details
This function allows the user to specify the number of cores for parallel processing either through the
argument num_cores
or via interactive user input. The function also loads a set of libraries required for
portfolio analysis.
Value
A parallel cluster object that can be used with functions that support parallel computation.
Examples
# Set up parallel processing with a specified number of cores
cl <- setup_parallel(num_cores = 2) # Use 2 cores for the example
print(cl) # Print the cluster information
parallel::stopCluster(cl) # Stop the cluster after use to clean up
[Package REN version 0.1.0 Index]