fcaR: Formal Concept Analysis

Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems.

Version: 1.0.6
Depends: R (≥ 3.1)
Imports: arules, fractional, hasseDiagram, knitr, Matrix, methods, RColorBrewer, Rcpp, registry, scales, stringr, tictoc, tikzDevice
LinkingTo: Rcpp
Suggests: covr, rmarkdown, testthat (≥ 2.1.0), parallel
Published: 2020-11-18
Author: Domingo Lopez Rodriguez ORCID iD [aut, cre], Angel Mora [aut], Jesus Dominguez [aut], Ana Villalon [aut], Ian Johnson [ctb]
Maintainer: Domingo Lopez Rodriguez <dominlopez at uma.es>
BugReports: https://github.com/neuroimaginador/fcaR/issues
License: GPL-3
URL: https://github.com/neuroimaginador/fcaR
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: fcaR results


Reference manual: fcaR.pdf
Vignettes: Integration with the arules package
Using FormalContexts and ConceptLattices
Extending fcaR: Equivalence Rules for Implications
Working with ImplicationSets
Package source: fcaR_1.0.6.tar.gz
Windows binaries: r-devel: fcaR_1.0.6.zip, r-release: fcaR_1.0.6.zip, r-oldrel: fcaR_1.0.6.zip
macOS binaries: r-release: fcaR_1.0.6.tgz, r-oldrel: fcaR_1.0.6.tgz
Old sources: fcaR archive


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