https://jujacques.r-universe.devRecent package updates in jujacquesR-universehttps://github.com/jujacques.pnghttps://jujacques.r-universe.devWed, 17 Jun 2026 13:30:08 GMTjulien.jacques@univ-lyon2.fr (Julien Jacques)Implementation of the co-clustering method for mixed type data proposed in M. Selosse, J. Jacques, C. Biernacki (2018) <https://hal.science/hal-01893457>. It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.https://github.com/r-universe/jujacques/actions/runs/27754647207Wed, 17 Jun 2026 13:30:08 GMTmixedClust1.0.2.1successhttps://jujacques.r-universe.devhttps://github.com/cran/mixedClustmixedClustLite.RmdmixedClustLite.htmlmixedClust2019-09-04 08:00:052019-09-04 08:00:05julien.jacques@univ-lyon2.fr (Julien Jacques)The funHDDC algorithm allows to cluster functional univariate (Bouveyron and Jacques, 2011, <doi:10.1007/s11634-011-0095-6>) or multivariate data (Schmutz et al., 2018) by modeling each group within a specific functional subspace.https://github.com/r-universe/jujacques/actions/runs/27123312766Fri, 08 May 2026 17:47:45 GMTfunHDDC2.3.1.1successhttps://jujacques.r-universe.devhttps://github.com/cran/funHDDCfunHDDC.RmdfunHDDC.htmlfunHDDC2018-10-08 20:30:032026-05-08 17:47:45julien.jacques@univ-lyon2.fr (Julien Jacques)Ordinal data classification, clustering and co-clustering using model-based approach with the BOS (Binary Ordinal Search) distribution for ordinal data (Christophe Biernacki and Julien Jacques (2016) <doi:10.1007/s11222-015-9585-2>).https://github.com/r-universe/jujacques/actions/runs/26386739813Tue, 21 Apr 2026 22:03:59 GMTordinalClust1.3.5.1successhttps://jujacques.r-universe.devhttps://github.com/cran/ordinalClustordinalClust.RmdordinalClust.htmlordinalClust2017-11-17 17:48:082020-11-19 07:20:07