The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 1.2.2
Depends: R (≥ 4.1)
Imports: dplyr, forcats, fractional, ggplot2, glue, grDevices, Matrix, methods, POSetR, R6, rlang, Rcpp, registry, settings, stringr, tibble, tidyr, tikzDevice, magrittr, purrr
LinkingTo: Rcpp
Suggests: arules, covr, hasseDiagram, knitr, markdown, rmarkdown, testthat (≥ 2.1.0), tictoc, tinytex, parallel
Published: 2023-11-30
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/Malaga-FCA-group/fcaR/issues
License: GPL-3
URL: https://github.com/Malaga-FCA-group/fcaR
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: fcaR results

Documentation:

Reference manual: fcaR.pdf
Vignettes: Integration with the arules package
Using FormalContexts and ConceptLattices
Conceptual Scaling
Extending fcaR: Equivalence Rules for Implications
Working with ImplicationSets

Downloads:

Package source: fcaR_1.2.2.tar.gz
Windows binaries: r-devel: fcaR_1.2.2.zip, r-release: fcaR_1.2.2.zip, r-oldrel: fcaR_1.2.2.zip
macOS binaries: r-release (arm64): fcaR_1.2.2.tgz, r-oldrel (arm64): fcaR_1.2.2.tgz, r-release (x86_64): fcaR_1.2.2.tgz, r-oldrel (x86_64): fcaR_1.2.2.tgz
Old sources: fcaR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fcaR to link to this page.

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.
Health stats visible at Monitor.