BatchExperiments

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 succint code for your experiments
• Internally handled seeds guarantee reproducibility

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.