<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Formal Concept Analysis</dc:title>
  <dc:title>R package fcaR version 2.1.0</dc:title>
  <dc:description>Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) &lt;doi:10.1007/978-3-642-01815-2_23&gt; and in Ganter and Obiedkov (2016) &lt;doi:10.1007/978-3-662-49291-8&gt;.  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. Boolean Matrix Factorization (BMF) is provided by several algorithms (such as GreConD, ASSO, RSF, RSF-ES, GreEss, PaNDa+, and Hyper+).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1)</dc:relation>
  <dc:relation>Imports: dplyr, glue, Matrix, methods, R6, rlang, Rcpp, registry,
settings, shiny, stringr, tibble, tidyr, tidyselect, purrr, cli</dc:relation>
  <dc:relation>LinkingTo: Rcpp, BH</dc:relation>
  <dc:relation>Suggests: bslib, DT, ggplot2, ggraph, grDevices, igraph, plotly,
shinyalert, shinyjs, shinyWidgets, visNetwork, future,
promises, rhandsontable, arules, covr, fractional, jsonlite,
knitr, markdown, miniUI, parallel, rmarkdown, rstudioapi,
testthat (&gt;= 2.1.0), tictoc, tikzDevice, tinytex, yaml</dc:relation>
  <dc:creator>Domingo Lopez Rodriguez &lt;dominlopez78@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Domingo Lopez Rodriguez [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-0172-1585&gt;),
  Angel Mora [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-07-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=fcaR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.fcaR</dc:identifier>
</oai_dc:dc>
