Rdocumentation
powered by
Learn R Programming
BatchExperiments (version 1.4.3)
Statistical Experiments on Batch Computing Clusters
Description
Extends the BatchJobs package to run statistical experiments on batch computing clusters. For further details see the project web page.
Copy Link
Link to current version
Version
Version
1.4.3
1.4.2
1.4.1
1.3
1.2
1.1
1.0-968
1.0-916
1.0-621
1.0-607
1.0-528
1.0-486
Install
install.packages('BatchExperiments')
Monthly Downloads
598
Version
1.4.3
License
BSD_3_clause + file LICENSE
Issues
5
Pull Requests
2
Stars
17
Forks
5
Repository
https://github.com/tudo-r/BatchExperiments
Maintainer
Michel Lang
Last Published
March 21st, 2022
Functions in BatchExperiments (1.4.3)
Search all functions
getAlgorithmIds
Get ids of algorithms in registry.
generateProblemInstance
Generate dynamic part of problem.
addAlgorithm
Add an algorithm to registry.
ExperimentJob
ExperimentJob
addProblem
Add a problem to registry.
addExperiments
Add experiemts to the registry.
getAlgorithm
Get algorithm from registry by id.
getExperimentParts
Get all parts required to run a single job.
findExperiments
Find ids of experiments that match a query.
BatchExperiments
The BatchExperiments package
summarizeExperiments
Summarize selected experiments.
reduceResultsExperimentsParallel
Reduce very many results in parallel.
removeAlgorithm
Remove algorithm from registry.
getIndex
Group experiments.
getJobs.ExperimentRegistry
Get jobs (here: experiments) from registry by id.
reduceResultsExperiments
Reduce results into a data.frame with all relevant information.
makeExperimentRegistry
Construct a registry object for experiments.
removeExperiments
Remove jobs from registry.
getProblem
Get problem from registry by id.
getProblemIds
Get ids of problems in registry.
removeProblem
Remove problem from registry.
makeDesign
Create parameter designs for problems and algorithms.
getResultVars
Get variable groups of reduced results.