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detectXOR: XOR Pattern Detection and Visualization

Provides tools for detecting XOR-like patterns in variable pairs in two-class data sets. Includes visualizations for pattern exploration and reporting capabilities with both text and HTML output formats.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 1.1.0), ggplot2 (≥ 3.4.0), ggh4x (≥ 0.2.3), tibble (≥ 3.1.8), reshape2 (≥ 1.4.4), glue (≥ 1.6.0), magrittr (≥ 2.0.0), stats, ggthemes, DescTools (≥ 0.99.50), utils, methods, grDevices, knitr, kableExtra, htmltools, base64enc
Suggests: testthat (≥ 3.0.0), rmarkdown, doParallel, foreach, parallel (≥ 4.2.0), future (≥ 1.28.0), future.apply (≥ 1.10.0), pbmcapply (≥ 1.5.0)
Published: 2025-06-27
Author: Jorn Lotsch ORCID iD [aut, cre], Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch at em.uni-frankfurt.de>
BugReports: https://github.com/JornLotsch/detectXOR/issues
License: GPL-3
URL: https://github.com/JornLotsch/detectXOR
NeedsCompilation: no
SystemRequirements: GNU make
Materials: README
CRAN checks: detectXOR results

Documentation:

Reference manual: detectXOR.pdf

Downloads:

Package source: detectXOR_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): detectXOR_0.1.0.tgz, r-oldrel (x86_64): detectXOR_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.