Package: IBclust
Type: Package
Title: Information Bottleneck Methods for Clustering Mixed-Type Data
Version: 1.3
Authors@R: c(person(given = "Angelos",
                    family = "Markos",
                    role = c("aut", "cre"),
                    email = "amarkos@gmail.com"),
             person(given = "Efthymios",
                    family = "Costa",
                    role = "aut"),
             person(given = "Ioanna",
                    family = "Papatsouma",
                    role = "aut"))
Description: Implements multiple variants of the Information Bottleneck ('IB') method 
    for clustering datasets containing continuous, categorical (nominal/ordinal) and mixed-type variables.
    The package provides deterministic, agglomerative, generalized, 
    and standard 'IB' clustering algorithms that preserve relevant information while 
    forming interpretable clusters. The Deterministic Information Bottleneck is described in 
    Costa et al. (2026) <doi:10.1016/j.patcog.2026.113580>. The standard 'IB' method 
    originates from Tishby et al. (2000) <doi:10.48550/arXiv.physics/0004057>, 
    the agglomerative variant from Slonim and Tishby (1999) <https://papers.nips.cc/paper/1651-agglomerative-information-bottleneck>, 
    and the generalized 'IB' from Strouse and Schwab (2017) <doi:10.1162/NECO_a_00961>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp, stats, utils, np, rje, Rdpack
Suggests: mclust
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
RoxygenNote: 7.3.3
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2026-05-11 06:09:05 UTC; amarkos
Author: Angelos Markos [aut, cre],
  Efthymios Costa [aut],
  Ioanna Papatsouma [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-11 06:50:19 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-05-11 08:28:12 UTC; unix
Archs: IBclust.so.dSYM
