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.">

fcaR: Formal Concept Analysis (original) (raw)

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:

Suggests:

arules, covr, hasseDiagram, knitr, markdown, rmarkdown, testthat (≥ 2.1.0), tictoc, tinytex, parallel

Published:

2023-11-30

DOI:

10.32614/CRAN.package.fcaR

Author:

Domingo Lopez Rodriguez [aut, cre], Angel Mora [aut], Jesus Dominguez [aut], Ana Villalon [aut], Ian Johnson [ctb]

Maintainer:

Domingo Lopez Rodriguez

BugReports:

https://github.com/Malaga-FCA-group/fcaR/issues

License:

URL:

https://github.com/Malaga-FCA-group/fcaR

NeedsCompilation:

yes

Materials:

CRAN checks: