Co-Clustering of Mixed Type Data R package mixedClust version 1.0.2.1 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. Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 0.12.11), fda, methods LinkingTo: Rcpp, RcppProgress, RcppArmadillo Suggests: rmarkdown, ordinalClust, knitr Julien Jacques <julien.jacques@univ-lyon2.fr> Comprehensive R Archive Network (CRAN) Margot Selosse [aut], Julien Jacques [aut, cre], Christophe Biernacki [aut] GPL (>= 2) 2026-06-17 application/tgz https://CRAN.R-project.org/package=mixedClust doi:10.32614/CRAN.package.mixedClust