Simple parallel and distributed processing using futures
that utilizes the 'BatchJobs' framework,
e.g. 'fit %<-% { glm(y ~ x + z) }'.
This package implements the Future API of the 'future' package.

Simple parallel and distributed processing using futures
that utilizes the 'BatchJobs' framework,
e.g. 'fit %<-% { lm.fit(x, y) }'.
This package implements the Future API of the 'future' package.

Simple parallel and distributed processing using futures
that utilizes the 'BatchJobs' framework,
e.g. 'fit %<-% { lm(y ~ x) }'.
This package implements the Future API of the 'future' package.

A Future API for Parallel and Distributed Processing using
BatchJobs
Implements of the Future API on top of the 'BatchJobs' package.
This allows you to process futures, as defined by the 'future' package,
in parallel out of the box, not only on your local machine or ad-hoc
cluster of machines, but also via high-performance compute ('HPC') job
schedulers such as 'LFS', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS',
e.g. 'y <- future_lapply(files, FUN = process)'.

Implements of the Future API on top of the 'BatchJobs' package.
This allows you to process futures, as defined by the 'future' package,
in parallel out of the box, not only on your local machine or ad-hoc
cluster of machines, but also via high-performance compute ('HPC') job
schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS',
e.g. 'y <- future_lapply(files, FUN = process)'.

Implementation of the Future API on top of the 'BatchJobs' package.
This allows you to process futures, as defined by the 'future' package,
in parallel out of the box, not only on your local machine or ad-hoc
cluster of machines, but also via high-performance compute ('HPC') job
schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS',
e.g. 'y <- future_lapply(files, FUN = process)'.

Implementation of the Future API on top of the 'BatchJobs' package.
This allows you to process futures, as defined by the 'future' package,
in parallel out of the box, not only on your local machine or ad-hoc
cluster of machines, but also via high-performance compute ('HPC') job
schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS',
e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.
NOTE: The 'BatchJobs' package is deprecated in favor of the 'batchtools'
package. Because of this, it is recommended to use the 'future.batchtools'
package instead of this package.