IOHanalyzer: Data Analysis Part of 'IOHprofiler'

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.

Depends: R (≥ 2.10)
Imports: magrittr, dplyr, data.table, ggplot2, plotly, colorspace, colorRamps, RColorBrewer, shiny, markdown, reshape2, shinyjs, colourpicker, bsplus, DT, kableExtra, stringi, httr, knitr
LinkingTo: Rcpp
Suggests: Rcpp, testthat, withr, shinydashboard, ComplexHeatmap, grid, keyring, PlayerRatings, xtable, igraph
Published: 2021-05-31
Author: Hao Wang [cre, aut], Diederick Vermetten [aut], Carola Doerr [aut], Thomas Bäck [aut]
Maintainer: Hao Wang < at>
License: BSD_3_clause + file LICENSE
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: IOHanalyzer results


Reference manual: IOHanalyzer.pdf
Package source: IOHanalyzer_0.1.5.2.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): IOHanalyzer_0.1.5.2.tgz, r-release (x86_64): IOHanalyzer_0.1.5.2.tgz, r-oldrel: IOHanalyzer_0.1.5.2.tgz
Old sources: IOHanalyzer archive


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