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. Boolean Matrix Factorization (BMF) is provided by several algorithms (such as GreConD, ASSO, RSF, RSF-ES, GreEss, PaNDa+, and Hyper+).

Package overview README.md Advanced lattice metrics Advanced Random Contexts Conceptual Scaling Creating Formal Contexts in fcaR Data Manipulation with fcaR and dplyr Extending fcaR: Equivalence Rules for Implications Fuzzy formal concept analysis Integration with the arules package JSON Export and Import Lattice properties Matrix Factorization Mining Causal Association Rules Using FormalContexts and ConceptLattices Visualizing concept lattices: from R to LaTeX Working with Bonds Working with ImplicationSets

Vignettes Man pages API and functions Files

Package details
Author	Domingo Lopez Rodriguez [aut, cre] (ORCID: <https://orcid.org/0000-0002-0172-1585>), Angel Mora [aut]
Maintainer	Domingo Lopez Rodriguez <dominlopez78@gmail.com>
License	GPL-3
Version	2.1.0
URL	https://github.com/Malaga-FCA-group/fcaR https://neuroimaginador.github.io/fcaR/
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("fcaR")`