IOHanalyzer: Data Analysis Part of 'IOHprofiler' (original) (raw)

The data analysis module for the Iterative Optimization Heuristics Profiler ('IOHprofiler'). This module provides statistical analysis methods for the benchmark data generated by optimization heuristics, which can be visualized through a web-based interface. The benchmark data is usually generated by the experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.

Version: 0.1.8.10
Depends: R (≥ 2.10)
Imports: magrittr, dplyr, data.table, ggplot2, plotly, colorspace, RColorBrewer, shiny, reshape2, stringi, httr, knitr, methods, rjson, eaf, viridis
LinkingTo: Rcpp
Suggests: Rcpp, testthat, withr, ComplexHeatmap, grid, keyring, PlayerRatings, xtable, shinyjs, colourpicker, bsplus, DT, kableExtra, markdown, igraph, shinydashboard, RVCompare, reticulate
Published: 2024-03-01
DOI: 10.32614/CRAN.package.IOHanalyzer
Author: Hao Wang ORCID iD [aut], Diederick VermettenORCID iD [cre, aut], Carola Doerr ORCID iD [aut], Thomas Bäck ORCID iD [aut]
Maintainer: Diederick Vermetten <d.l.vermetten at liacs.leidenuniv.nl>
BugReports: https://github.com/IOHprofiler/IOHAnalyzer/issues
License: BSD_3_clause + file
URL: https://iohanalyzer.liacs.nl,https://github.com/IOHprofiler/IOHAnalyzer
NeedsCompilation: yes
SystemRequirements: C++
Materials: README
CRAN checks: IOHanalyzer results

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