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BatchExperiments

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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

Quickstart and Documentation

To install the latest stable release from CRAN:

install.packages("BatchExperiments")

To install the development version use devtools:

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.