Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces R package funHDDC version 2.3.1.1 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. Software Depends: MASS,fda, R (>= 3.1.0) Suggests: knitr, rmarkdown Julien Jacques <julien.jacques@univ-lyon2.fr> Comprehensive R Archive Network (CRAN) A Schmutz [aut], J. Jacques & C. Bouveyron [aut], Julien Jacques [cre] GPL-2 2026-05-08 application/tgz https://CRAN.R-project.org/package=funHDDC doi:10.32614/CRAN.package.funHDDC