map in parallel with progress
The goal of mappp is to provide a simple implementation of purrr::map or base::lapply that provides enhanced features like parallel computation, progress bars, error handling, and result caching.
- progress:
mappp()will always report its progress - error handling: by default, if
mappp()encounters an error, it will returnNAinstead of interrupting the entire calculation - parallel: if
parallel = TRUE,mappp()will attempt to calculate in parallel by using the maximum number of available cores - cache: if
cache = TRUE,mappp()will memoise the results in a local cache folder
Please note that this package relies on forking via parallel::mclapply() which means that parallel computation is not available on Windows platforms.
mappp is hosted on CRAN and can be installed with:
install.packages("mappp")