R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
future
Unified Parallel and Distributed Processing in R for Everyone
View on CRAN: Click
here
Download and install future package within the R console
Install from CRAN:
install.packages("future")
Install from Github:
library("remotes")
install_github("cran/future") Install by package version:
library("remotes")
install_version("future", "1.76.0") Attach the package and use:
library("future")
Maintained by
Henrik Bengtsson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-19
Latest Update: 2025-07-29
Description:
The purpose of this package is to provide a lightweight and
unified Future API for sequential and parallel processing of R
expression via futures. The simplest way to evaluate an expression
in parallel is to use `x %<-% { expression }` with `plan(multisession)`.
This package implements sequential, multicore, multisession, and
cluster futures. With these, R expressions can be evaluated on the
local machine, in parallel a set of local machines, or distributed
on a mix of local and remote machines.
Extensions to this package implement additional backends for
processing futures via compute cluster schedulers, etc.
Because of its unified API, there is no need to modify any code in order
switch from sequential on the local machine to, say, distributed
processing on a remote compute cluster.
Another strength of this package is that global variables and functions
are automatically identified and exported as needed, making it
straightforward to tweak existing code to make use of futures.
How to cite:
Henrik Bengtsson (2015). future: Unified Parallel and Distributed Processing in R for Everyone. R package version 1.76.0, https://cran.r-project.org/web/packages/future. Accessed 20 Oct. 2026.
Previous versions and publish date:
(2026-10-16 03:10), 0.6.0 (2015-06-19 10:25), 0.7.0 (2015-07-14 20:40), 0.8.0 (2015-09-07 08:46), 0.8.1 (2015-10-05 23:01), 0.8.2 (2015-10-14 23:41), 0.9.0 (2015-12-12 09:13), 0.10.0 (2015-12-31 00:35), 0.11.0 (2016-01-20 09:12), 0.12.0 (2016-02-24 09:11), 0.13.0 (2016-04-14 08:32), 0.14.0 (2016-05-17 01:08), 0.15.0 (2016-06-14 10:31), 1.0.0 (2016-06-24 09:53), 1.0.1 (2016-07-04 09:31), 1.1.0 (2016-10-10 08:28), 1.1.1 (2016-10-11 00:45), 1.2.0 (2016-11-12 14:02), 1.3.0 (2017-02-19 10:53), 1.4.0 (2017-03-13 08:45), 1.5.0 (2017-05-26 08:31), 1.6.0 (2017-08-13 07:33), 1.6.1 (2017-09-09 16:52), 1.6.2 (2017-10-17 00:57), 1.7.0 (2018-02-11 15:26), 1.8.0 (2018-04-08 13:08), 1.8.1 (2018-05-03 06:13), 1.9.0 (2018-07-23 10:00), 1.10.0 (2018-10-17 10:20), 1.11.0 (2019-01-22 00:20), 1.11.1.1 (2019-01-27 00:30), 1.12.0 (2019-03-08 20:32), 1.13.0 (2019-05-09 00:50), 1.14.0 (2019-07-02 10:30), 1.15.0 (2019-11-08 13:20), 1.15.1 (2019-11-25 10:40), 1.16.0 (2020-01-16 16:20), 1.17.0 (2020-04-18 09:40), 1.18.0 (2020-07-09 07:40), 1.19.1 (2020-09-22 18:30), 1.20.1 (2020-11-03 07:40), 1.21.0 (2020-12-10 10:00), 1.22.1 (2021-08-25 11:30), 1.23.0 (2021-10-31 07:30), 1.24.0 (2022-02-19 19:20), 1.25.0 (2022-04-24 09:00), 1.26.1 (2022-05-27 21:20), 1.27.0 (2022-07-22 13:00), 1.28.0 (2022-09-02 15:40), 1.29.0 (2022-11-06 18:40), 1.30.0 (2022-12-16 01:20), 1.31.0 (2023-02-01 09:50), 1.32.0 (2023-03-07 09:10), 1.33.0 (2023-07-01 20:00), 1.33.1 (2023-12-22 08:20), 1.33.2 (2024-03-26 19:00), 1.34.0 (2024-07-29 18:50), 1.40.0 (2025-04-10 10:40), 1.49.0 (2025-05-09 05:20), 1.58.0 (2025-06-05 07:30), 1.67.0 (2025-07-29 14:50), 1.68.0 (2025-11-17 07:10), 1.69.0 (2026-01-16 15:40), 1.70.0 (2026-03-14 07:10), 1.75.0 (2026-07-20 17:10), 1.76.0 (2026-09-24 12:30)
Other packages that cited future R package
View future citation profile
Other R packages that future depends,
imports, suggests or enhances
Complete documentation for future
Functions, R codes and Examples using
the future R package
Some associated functions: ClusterFuture-class . ConstantFuture-class . Future-class . FutureCondition . FutureGlobals . FutureResult . MulticoreFuture-class . MultiprocessFuture-class . UniprocessFuture-class . backtrace . cluster . clusterExportSticky . find_references . future . future.options . futureOf . futureSessionInfo . futures . getExpression . getGlobalsAndPackages . grapes-conditions-grapes . grapes-globals-grapes . grapes-label-grapes . grapes-lazy-grapes . grapes-plan-grapes . grapes-seed-grapes . grapes-stdout-grapes . grapes-tweak-grapes . mandelbrot . multicore . multisession . nbrOfWorkers . nullcon . plan . private_length . re-exports . readImmediateConditions . requestCore . resetWorkers . resolve . resolved . result . run . save_rds . sequential . sessionDetails . signalConditions . sticky_globals . tweak . usedCores . value .
Some associated R codes: 000.bquote.R . 000.import.R . 000.re-exports.R . ClusterFuture-class.R . ClusterRegistry.R . ConstantFuture-class.R . Future-class.R . FutureCondition-class.R . FutureGlobals-class.R . FutureRegistry.R . FutureResult-class.R . MulticoreFuture-class.R . MultiprocessFuture-class.R . MultisessionFuture-class.R . UniprocessFuture-class.R . backtrace.R . capture_journals.R . cluster.R . conditions_OP.R . connections.R . constant.R . expressions.R . future.R . futureAssign.R . futureAssign_OP.R . futureCall.R . futureOf.R . futureSessionInfo.R . futures.R . globals.R . globals_OP.R . journal.R . label_OP.R . lazy_OP.R . makeClusterPSOCK_args.R . mandelbrot.R . multicore.R . multisession.R . nbrOfWorkers.R . options.R . plan_OP.R . resolve.R . resolved.R . rng_utils.R . seed_OP.R . sequential.R . sessionDetails.R . signalConditions.R . signalEarly.R . stdout_OP.R . stealth_sample.R . sticky_globals.R . tweak.R . tweakExpression.R . tweak_OP.R . utils,conditions.R . utils-immediateCondition.R . utils-marshalling.R . utils.R . uuid.R . value.R . whichIndex.R . zzz.R . zzz.plan.R . Full future package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
conStruct
Models Spatially Continuous and Discrete Population Genetic Structure
A method for modeling genetic data as a combination of discrete
layers, within each of which relate ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gideon Bradburd (view profile)
EvalEst
Dynamic Systems Estimation - Extensions
Provides functions for evaluating (time series) model
estimation methods. These facilitate Monte Ca ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Paul Gilbert (view profile)
bgeva
Binary Generalized Extreme Value Additive Models
Routine for fitting regression models for binary rare events with linear and nonlinear covariate eff ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giampiero Marra (view profile)
nextGenShinyApps
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
ISR
The Iterated Score Regression-Based Estimation
Algorithm to handle with PCA-based missing data, where ISR is for PCA-based missing data with high c ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Guangbao Guo (view profile)
MOTE
Effect Size and Confidence Interval Calculator
Measure of the Effect ('MOTE') is an effect size calculator, including a
wide variety of effect siz ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Erin M. Buchanan (view profile)
29,080
R Packages
247,686
Dependencies
76,898
Author Associations
29,081
Publication Badges
