The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
Version: | 3.3.0 |
Depends: | R (≥ 4.0.0) |
Imports: | snow, xml2, jsonlite, methods, utils |
Suggests: | sendmailR, testthat, shiny, DT, knitr, rmarkdown, tibble |
Published: | 2023-08-22 |
DOI: | 10.32614/CRAN.package.ParallelLogger |
Author: | Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph] |
Maintainer: | Martijn Schuemie <schuemie at ohdsi.org> |
BugReports: | https://github.com/OHDSI/ParallelLogger/issues |
License: | Apache License 2.0 |
URL: | https://ohdsi.github.io/ParallelLogger/, https://github.com/OHDSI/ParallelLogger |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | ParallelLogger results |
Reference manual: | ParallelLogger.pdf |
Vignettes: |
Logging using ParallelLogger Parallel execution using ParallelLogger |
Package source: | ParallelLogger_3.3.0.tar.gz |
Windows binaries: | r-devel: ParallelLogger_3.3.0.zip, r-release: ParallelLogger_3.3.0.zip, r-oldrel: ParallelLogger_3.3.0.zip |
macOS binaries: | r-release (arm64): ParallelLogger_3.3.0.tgz, r-oldrel (arm64): ParallelLogger_3.3.0.tgz, r-release (x86_64): ParallelLogger_3.3.0.tgz, r-oldrel (x86_64): ParallelLogger_3.3.0.tgz |
Old sources: | ParallelLogger archive |
Reverse imports: | Achilles, CohortExplorer, FeatureExtraction, IterativeHardThresholding, ProteoDisco, ResultModelManager, RPANDA |
Reverse suggests: | DatabaseConnector |
Please use the canonical form https://CRAN.R-project.org/package=ParallelLogger to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.