Foreach Parallel Adaptor for the 'parallel' Package
- CRAN checks, method
Method
Checks and health
CRAN runs every current package through
R CMD checkon a set of machines and publishes a result for each one. The health shown on a package page comes from these results alone.- Problems
- Notes alone never count against a package, but a warning, an error or a failure on any platform is a problem. Open CRAN deadlines are a fact of their own, shown as a clock after the mark, so the mark always says what the checks found.
- Checks only
- Health reflects CRAN's check results and nothing else. Even a package with no tests, no coverage or no recent release can have every platform OK.
- Once a day
- Results are collected once a day from files CRAN publishes. Each platform is one machine set-up, named by its R version, operating system, architecture and compiler, such as r-devel-linux-x86_64-fedora-clang.
- Platforms counted
- The 13 in 3 of 13 is the number of platform rows CRAN published for that package on the day of collection. The set of machines changes over time, so the number is not fixed, and a package missing from a platform counts as neither passing nor failing there.
- OKnotes on 4 of 13
- CRAN 30-day downloads, method
- 142K−5.4% down on the 30 days before, the worse direction
- Dependent packages, method
Method
Reverse dependencies
Dependent packages are other packages that list this one under
Depends,ImportsorLinkingToin theirDESCRIPTIONfile. Those fields list the packages a package needs to install, so dependents break if this one is archived or broken.- As declared
- The counts follow the declarations as written, not whether a package uses the other one when it runs.
- Suggests apart
- Packages that list this one only under
Suggestsinstall and run without it, and use it for tests, examples or an optional feature. They are counted as Suggested by, never among the dependents, and a package that also lists it under one of the three fields is a dependent and is not counted again. - Zero
- Zero dependents means no current CRAN package declares a need for this one, though some may suggest it. On 28 Oct 2026, 19,572 of the 25,583 current CRAN packages had no dependent package.
- 670173 more suggest it
- Test coverage, method
Method
Test coverage
Test coverage is measured by downloading each CRAN package's current source file, installing its dependencies, building it and running its tests under covr.
- Almost half of CRAN has no tests to run
- Only CRAN packages are measured. Many have no percentage, most often because the package has no tests, and that blank is a recorded outcome, not missing data.
- NOT_CRAN
- Tests run with NOT_CRAN=true, so tests that skip themselves on CRAN run here, and the figure can differ from what CRAN's own checks see.
- Current version only
- Only the current version is measured, and a new version on CRAN is measured again. Older rows are kept but never filled in later. This is one package's run.
- Never 0%
- On a package page three states stay apart: measured, no tests, and not measured. Neither of the last two is ever shown as 0%.
- 20%of lines run by tests
- Advisories, method
Method
Security advisories
Advisories come from the R Consortium advisory database, a community record of security problems in R packages, as OSV publishes it.
- The copy
- The record is read once a day. The data is published under the Apache License 2.0 and is credited on the advisories list.
- Box under the name
- Under the package's name, a box names any advisory that affects the current release, with its fix or that there is none.
- Ranges
- Advisories state ranges, such as from 0.9.12 up to but not including 1.8.8. Each range is checked against every version CRAN has published, using the version rules R itself uses, so a release that came out after the advisory was written is still caught by its range.
- Not the package
- The rating is for the library flaw itself, not for how exposed the R package is, and it is never added up into a figure for the package.
- None known
About
Method, About Method Licence figures come from the Licences
License field of each package's DESCRIPTION file, read the way R itself reads it. No licence file is opened.tools::analyze_license() and R's own licence database, as CRAN's checks read it.| is read, so one string can offer two families.
Provides a parallel backend for the %dopar% function using the parallel package.
- Maintainer
- Folashade Daniel
- Licence
- GPL-2
- Latest release
- 7 Feb 2022
- First release
- 7 Dec 2011
More details
- Releases
- 12
- Needs compilation
- No
- Needs R
- >= 2.14.0
Subjects (1) Method, SubjectsMethod
Subjects and collections
Subjects are the site's own grouping of CRAN packages, found by clustering. Collections are sets of packages that communities declare, such as the tidyverse.
- Subjects
- Subjects are found by clustering the words of current CRAN packages and the packages they use. No one edits them by hand.
- Collections
- Collections are sets that communities declare, through a package that installs the set or an organization on GitHub. The site finds them by rules.
- Who made each
- Subjects are marked Site and collections Community. Subjects, collections and task views are never mixed in one list.
- The day of the data
- Subjects and collections were last worked out on 22 Oct 2026.
Cite
Package
Run in R for the authors' preferred citation:
citation("doParallel")Daniel, F., Corporation, M., Tenenbaum, D., & Weston, S. (2022). doParallel: Foreach Parallel Adaptor for the 'parallel' Package (Version 1.0.17) [Computer software]. https://doi.org/10.32614/CRAN.package.doParallel
About
This package has no citation file, so citation() returns this entry built from DESCRIPTION.
R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
Balamuta, J. J. (2026). R Observatory: Metrics for doParallel version 1.0.17 [Data set]. HJJB, LLC. Data release v2026-10-28. https://doi.org/10.5281/zenodo.21843040
About
From data release v2026-10-28, which the citation names so these numbers can be found later.
Health
No warnings or errors. 4 of 13 check platforms have notes.
r-devel-linux-x86_64-debian-clangThe unreleased R on Linux, x86_64, debian-clang
Note
- Version checked
- 1.0.17
- Time taken
- 111 s
R code for possible problems: Note
Found the following calls to attach():
r-devel-linux-x86_64-debian-gccThe unreleased R on Linux, x86_64, debian-gcc
Note
- Version checked
- 1.0.17
- Time taken
- 128 s
R code for possible problems: Note
Found the following calls to attach():
r-patched-linux-x86_64The patched release of R on Linux, x86_64
Note
- Version checked
- 1.0.17
- Time taken
- 109 s
R code for possible problems: Note
Found the following calls to attach():
r-release-linux-x86_64The current release of R on Linux, x86_64
Note
- Version checked
- 1.0.17
- Time taken
- 108 s
R code for possible problems: Note
Found the following calls to attach():
r-devel-linux-x86_64-fedora-clangThe unreleased R on Linux, x86_64, fedora-clang
OK
- Version checked
- 1.0.17
- Time taken
- 82 s
r-devel-linux-x86_64-fedora-gccThe unreleased R on Linux, x86_64, fedora-gcc
OK
- Version checked
- 1.0.17
- Time taken
- 88 s
r-devel-windows-x86_64The unreleased R on Windows, x86_64
OK
- Version checked
- 1.0.17
- Time taken
- 124 s
r-oldrel-macos-arm64The previous release of R on macOS, arm64
OK
- Version checked
- 1.0.17
r-oldrel-macos-x86_64The previous release of R on macOS, x86_64
OK
- Version checked
- 1.0.17
- Time taken
- 114 s
r-oldrel-windows-x86_64The previous release of R on Windows, x86_64
OK
- Version checked
- 1.0.17
- Time taken
- 142 s
r-release-macos-arm64The current release of R on macOS, arm64
OK
- Version checked
- 1.0.17
- Time taken
- 30 s
r-release-macos-x86_64The current release of R on macOS, x86_64
OK
- Version checked
- 1.0.17
- Time taken
- 135 s
r-release-windows-x86_64The current release of R on Windows, x86_64
OK
- Version checked
- 1.0.17
- Time taken
- 117 s
- 4 Note
- 9 OK
Check output (1)
R code for possible problems, Note on 4 platforms
Found the following calls to attach(): File ‘doParallel/R/doParallel.R’: attach(exportEnv) See section ‘Good practice’ in ‘?attach’.
Downloads
Method, Downloads Method Download figures count requests logged by each distribution channel. They are not counts of installs or of users, because each channel publishes its own totals and this site reads them.Downloads
- Total downloads in the last 30 days
- 188,343+7.6% up on the 30 days before, the better directionIt is the sum of 5 channels: CRAN, r2u, autoCRAN, conda-forge and c2d4u.
CRAN rank
275 of 26,530
CRAN
142,473 downloads in the last 30 days
- Rank
- 275 of 26,530
- Change
- −5.4% down on the 30 days before, the worse direction
It is in the total. Take it out
r2u
18,670 downloads in the last 30 days
- Rank
- 223 of 30,526
- Change
- +204% up on the 30 days before, the better direction
It is in the total. Take it out
autoCRAN
222 downloads in the last 30 days
- Rank
- 152 of 29,212
- Change
- −16.2% down on the 30 days before, the worse direction
It is in the total. Take it out
conda-forge
26,651 downloads in the last 30 days
- Rank
- 277 of 3,828
- Change
- +51.9% up on the 30 days before, the better direction
It is in the total. Take it out
c2d4u, no longer updated
327 downloads in the last 30 days
- Rank
- 186 of 7,575
- Change
- −27.2% down on the 30 days before, the worse direction
It is in the total. Take it out
The total is 188,343 downloads in the last 30 days. It is the sum of 5 channels: CRAN, r2u, autoCRAN, conda-forge and c2d4u.
Over time
Dependencies
- Needs
- 4
- Dependent packages
- 670
- Suggested by
- 173
Needs (4)
Dependent packages (50 of 670)
| Package | Title | Downloads in 30 days |
|---|---|---|
| qgam | Smooth Additive Quantile Regression Models | 25,814 |
| phytools | Phylogenetic Tools for Comparative Biology (and Other Things) | 25,544 |
| WGCNA | Weighted Correlation Network Analysis | 24,820 |
| NMF | Algorithms and Framework for Nonnegative Matrix Factorization (NMF) | 16,092 |
| riskRegression | Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks | 12,533 |
| opdisDownsampling | Optimal Distribution Preserving Down-Sampling of Bio-Medical Data | 8,535 |
| lcmm | Extended Mixed Models Using Latent Classes and Latent Processes | 7,391 |
| marqLevAlg | A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm | 7,354 |
| missMDA | Handling Missing Values with Multivariate Data Analysis | 7,206 |
| smacof | Multidimensional Scaling | 7,178 |
| joineRML | Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes | 6,196 |
| bigparallelr | Easy Parallel Tools | 6,036 |
| bestNormalize | Normalizing Transformation Functions | 4,633 |
| BIEN | Tools for Accessing the Botanical Information and Ecology Network Database | 4,503 |
| adabag | Applies Multiclass AdaBoost.M1, SAMME and Bagging | 4,064 |
| SIS | Sure Independence Screening | 3,481 |
| tclust | Robust Trimmed Clustering | 3,475 |
| lavaSearch2 | Tools for Model Specification in the Latent Variable Framework | 3,204 |
| fda.usc | Functional Data Analysis and Utilities for Statistical Computing | 3,160 |
| NetworkToolbox | Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis | 3,064 |
| SGP | Student Growth Percentiles & Percentile Growth Trajectories | 2,689 |
| bst | Gradient Boosting | 2,462 |
| skpr | Design of Experiments Suite: Generate and Evaluate Optimal Designs | 2,325 |
| benchmarkme | Crowd Sourced System Benchmarks | 2,300 |
| hypervolume | High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls | 2,161 |
| GGIR | Raw Accelerometer Data Analysis | 2,082 |
| rayshader | Create Maps and Visualize Data in 2D and 3D | 2,037 |
| scorecard | Credit Risk Scorecard | 1,983 |
| fect | Fixed Effects Counterfactual Estimators | 1,889 |
| Robyn | Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science | 1,771 |
| fdasrvf | Elastic Functional Data Analysis | 1,745 |
| spOccupancy | Single-Species, Multi-Species, and Integrated Spatial Occupancy Models | 1,714 |
| Morpho | Calculations and Visualisations Related to Geometric Morphometrics | 1,704 |
| shazam | Immunoglobulin Somatic Hypermutation Analysis | 1,603 |
| modeltime | The Tidymodels Extension for Time Series Modeling | 1,554 |
| otrimle | Robust Model-Based Clustering | 1,495 |
| Directional | A Collection of Functions for Directional Data Analysis | 1,489 |
| abn | Modelling Multivariate Data with Additive Bayesian Networks | 1,433 |
| NCA | Necessary Condition Analysis | 1,424 |
| forecastHybrid | Convenient Functions for Ensemble Time Series Forecasts | 1,276 |
| gdm | Generalized Dissimilarity Modeling | 1,229 |
| influential | Identification and Classification of the Most Influential Nodes | 1,203 |
| TropFishR | Tropical Fisheries Analysis | 1,156 |
| StAMPP | Statistical Analysis of Mixed Ploidy Populations | 1,155 |
| adjustedCurves | Confounder-Adjusted Survival Curves and Cumulative Incidence Functions | 1,153 |
| asremlPlus | Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences | 1,148 |
| scoper | Spectral Clustering-Based Method for Identifying B Cell Clones | 1,123 |
| paleoTS | Analyze Paleontological Time-Series | 1,063 |
| lpirfs | Local Projections Impulse Response Functions | 1,029 |
| sparr | Spatial and Spatiotemporal Relative Risk | 996 |
Code
Method, Code Method Code metrics come from reading the released source of each package version. The package is never installed, loaded or run.Code metrics
README, vignettes, a NEWS file and the shares read from its help pages. Files kept only in the repository, such as a pkgdown configuration or CI files, are read by the repository scan instead.
- Functions
- 14
- Public exports
- 2
- Lines of R code
- 527
- Median complexity
- 2.5
Functions (14)
Size and composition
Lines by kind (1,039)
| Kind | Lines | Share |
|---|---|---|
| R code | 527 | 51% |
| Tests | 70 | 7% |
| Documentation | 98 | 9% |
| Guides | 344 | 33% |
Lines by language
| Language | Lines | Share |
|---|---|---|
| R | 597 | 58% |
| Vignettes | 344 | 33% |
| Rd | 98 | 9% |
Languages are counted from file extensions.
- Files
- 19
- R functions
- 14
Complexity
- Median
- 2.5
- Mean
- 6.93
- Highest
- 31
- Median lines per function
- 13.5
About complexity
Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.
Call graph figures
- R functions
- 14
- Calls
- 7
- Unconnected
- 4
- Groups
- 3
Growth (12 releases)
Release changes
Tests
The tests ran and coverage was measured.
- Lines run by tests
- 20.3%
- Expressions run by tests
- 22.7%
- Test cases
- 3
- Exports named in tests
- 50%
Coverage by file (2)
Coverage run
- Lines counted
- 300
- Lines the tests ran
- 61
- Tests passed
- Yes
- Measured with
- covr 3.6.5 on R 4.6.1
Test suite
- Has tests
- Yes
- Test frameworks
- RUnit
- Test cases
- 3
- Lines of tests
- 70
- Test lines per line of code
- 0.13
Documentation
- Exports documented
- 100%
- Arguments documented
- 100%
- Return value documented
- 0%
- Help pages with examples
- 50%
- Examples run in checks
- 100%
Other documentation
- README
- No
- Release notes file
- Yes
- Help pages
- 2
- Lines of documentation
- 98
People
Method, People Method People on the site are the names packages give them in their Author and maintainer identity
DESCRIPTION files: authors from the author list, and the maintainer from the Maintainer field. Spellings of one name become one person only where the rules below allow it, and when in doubt the rules keep people apart.
Maintainer since 1.0.17 (2022), previously Michelle Wallig (1.0.16) and Hong Ooi (1.0.15)
Author, copyright holder
Contributor
Author
Earlier names (4)
- Hong Ooi
- Michelle Wallig
- Revolution Analytics
- Rich Calaway
Repository
Method, figures by host Method Repository signals are the figures read from the source repository a package links to: stars, forks, issues, commits, releases and the time issues take to close. They are read from GitHub, GitLab, Codeberg and Bitbucket.Repository signals
URL and BugReports fields of its DESCRIPTION file. Read-only mirrors, the cran and bioc accounts on GitHub and git.bioconductor.org, are left out.
RevolutionAnalytics / doparallel on github.com
- Stars
- 5
- Forks
- 3
- Open issues
- 7
- Last commit
- 15 Feb 2022
Activity
- Commits
- 30
- Open pull requests
- 1
- Tagged releases
- 0
- Latest tagged release
- –
- Issues closed in
- 10 days (median)
- Pull requests closed in
- 10 days (median)
- Pull requests merged
- 100%
- Created
- 1 Jul 2019
- Licence file reads as
- –
History
Method, History Method Archived is built from CRAN's archive records, its list of check deadlines and Bioconductor's package records. Every figure is counted to 28 Oct 2026, the day the data was read.Packages leaving
| Version | Released | R | Events |
|---|---|---|---|
| 1.0.17 current | 7 Feb 2022 | 4.1.2 | Maintainer: Folashade Daniel |
| 1.0.16 | 16 Oct 2020 | 4.0.3 | Maintainer: Michelle Wallig |
| 1.0.15 | 2 Aug 2019 | 3.6.1 | Maintainer: Hong Ooi |
| 1.0.14 | 24 Sep 2018 | 3.5.0 | |
| 1.0.11 | 28 Sep 2017 | 3.4.2 | |
| 1.0.10 | 14 Oct 2015 | 3.2.2 | Maintainer: Rich Calaway |
| 1.0.8 | 28 Feb 2014 | 3.0.2 | |
| 1.0.7 | 21 Feb 2014 | 3.0.2 |
Earlier versions (4)
Release notes (1.0.17)
- Maintainer change (Folashade Daniel; fdaniel@microsoft.com).