BatchExperiments
BatchExperiments: Statistical experiments on batch computing clusters
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 4 committers (25.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.5%) to scientific vocabulary
Keywords from Contributors
Repository
BatchExperiments: Statistical experiments on batch computing clusters
Basic Info
Statistics
- Stars: 17
- Watchers: 9
- Forks: 5
- Open Issues: 8
- Releases: 0
Metadata Files
README.md
BatchExperiments
NOTE: Development continues in the new package batchtools
If you use the package, please cite it
```
To cite BatchJobs or BatchExperiments in publications use:
Bernd Bischl, Michel Lang, Olaf Mersmann, Joerg Rahnenfuehrer, Claus Weihs (2015). BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments. Journal of Statistical Software, 64(11), 1-25. URL https://www.jstatsoft.org/v64/i11/.
A BibTeX entry for LaTeX users is
@Article{, title = {{BatchJobs} and {BatchExperiments}: Abstraction Mechanisms for Using {R} in Batch Environments}, author = {Bernd Bischl and Michel Lang and Olaf Mersmann and J{\"o}rg Rahnenf{\"u}hrer and Claus Weihs}, journal = {Journal of Statistical Software}, year = {2015}, volume = {64}, number = {11}, pages = {1--25}, url = {https://www.jstatsoft.org/v64/i11/}, } ```
Core features
- Extends BatchJobs with functionality required for comprehensive computer experiments
- Abstraction to link algorithms to problems and thereby define computer experiments
- Associate statistical designs with parameters of problems and algorithms
- Support for statistical replications of experiments
- Collect parameters and results into a clearly represented data frame with one simple function call
- Extend your study later with further problems, algorithms, parameters or replications
- Clear separation between all stages: your methods under consideration, experiment defintions and execution layer.
- Readable and succinct code for your experiments
- Internally handled seeds guarantee reproducibility
Quickstart and Documentation
To install the latest stable release from CRAN:
splus
install.packages("BatchExperiments")
To install the development version use devtools:
splus
library(devtools);
install_github("tudo-r/BatchJobs")
install_github("tudo-r/BatchExperiments")
Please see the documentation of BatchJobs to set up your system for parallel execution.
Currently the best introduction to the package is our technical report.
For more detailed information on the functions please use the R documentation.
You can also peek into some examples provided in the wiki.
We also have a mailing list.
Owner
- Name: TU Dortmund - R
- Login: tudo-r
- Kind: organization
- Location: Dortmund
- Repositories: 9
- Profile: https://github.com/tudo-r
R related repositories from the Statistics Department of the TU Dortmund
GitHub Events
Total
- Delete event: 1
- Push event: 2
- Pull request event: 2
- Create event: 1
Last Year
- Delete event: 1
- Push event: 2
- Pull request event: 2
- Create event: 1
Committers
Last synced: almost 3 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| mllg | m****g@g****m | 268 |
| berndbischl | b****l@g****t | 80 |
| Jakob Richter | c****e@j****e | 4 |
| Michel Lang | l****g@s****e | 4 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 12
- Total pull requests: 5
- Average time to close issues: 8 months
- Average time to close pull requests: about 19 hours
- Total issue authors: 6
- Total pull request authors: 4
- Average comments per issue: 1.08
- Average comments per pull request: 0.2
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- berndbischl (6)
- renozao (2)
- krlmlr (1)
- mllg (1)
- stephens999 (1)
- schiffner (1)
Pull Request Authors
- mllg (2)
- jakob-r (1)
- roualdes (1)
- renozao (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- cran 504 last-month
- Total docker downloads: 43,390
- Total dependent packages: 2
- Total dependent repositories: 7
- Total versions: 13
- Total maintainers: 1
cran.r-project.org: BatchExperiments
Statistical Experiments on Batch Computing Clusters
- Homepage: https://github.com/tudo-r/BatchExperiments
- Documentation: http://cran.r-project.org/web/packages/BatchExperiments/BatchExperiments.pdf
- License: BSD_3_clause + file LICENSE
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Latest release: 1.4.3
published over 4 years ago
Rankings
Maintainers (1)
Dependencies
- BatchJobs >= 1.7 depends
- R >= 3.0.0 depends
- BBmisc >= 1.11 imports
- DBI * imports
- RSQLite >= 2.0 imports
- backports * imports
- checkmate >= 1.8.5 imports
- data.table >= 1.9.6 imports
- stats * imports
- utils * imports
- plyr * suggests
- randomForest * suggests
- rpart * suggests
- testthat * suggests