All functions

backtrace()

Back trace the expressions evaluated when an error was caught

cluster()

Create a cluster future whose value will be resolved asynchronously in a parallel process

clusterExportSticky()

Export globals to the sticky-globals environment of the cluster nodes

future() futureAssign() `%<-%` futureCall()

Create a future

futureOf()

Get the future of a future variable

futures()

Get all futures in a container

`%conditions%`

Control whether standard output should be captured or not

`%globals%` `%packages%`

Specify globals and packages for a future assignment

`%label%`

Specify label for a future assignment

`%lazy%`

Control lazy / eager evaluation for a future assignment

`%plan%`

Use a specific plan for a future assignment

`%seed%`

Set random seed for future assignment

`%stdout%`

Control whether standard output should be captured or not

`%tweak%`

Temporarily tweaks the arguments of the current strategy

multicore()

Create a multicore future whose value will be resolved asynchronously in a forked parallel process

multisession()

Create a multisession future whose value will be resolved asynchronously in a parallel R session

nbrOfWorkers() nbrOfFreeWorkers()

Get the number of workers available

plan()

Plan how to resolve a future

re-exports

Functions Moved to 'parallelly'

remote()

Create a remote future whose value will be resolved asynchronously in a remote process

resolve()

Resolve one or more futures synchronously

resolved()

Check whether a future is resolved or not

sequential() transparent()

Create a sequential future whose value will be in the current R session

signalConditions()

Signals Captured Conditions

tweak()

Tweak a future function by adjusting its default arguments

value()

The value of a future or the values of all elements in a container