The fcaR package is a library created in the R programming language implementing most of the fundamental structures of formal concept analysis (FCA), as well as the most relevant algorithms for handling formal contexts, concept lattices and implication systems. Furthermore, it implements the extension of FCA to fuzzy datasets and a simplification logic to develop automated reasoning tools. This package is the first to implement FCA techniques in R. Therefore, emphasis has been put on defining classes and methods that could be reusable and extensible by the community.
To date, the tool has more than 21000 downloads from the official repository and has been used in several scientific articles for the creation of recommender systems or for the development of new algorithms for the simplification of implications with mixed attributes. In particular, the library itself has been accepted for publication in the next issue of the "R Journal" (D1 in JCR).
The talk will summarise the main aspects of the library and emphasise the use of the formal tools implemented to solve problems with fuzzy datasets: computation of the concept lattice, exploration of association rules and the use of logic to build a recommendation system.