Package: funHDDC
Type: Package
Title: Univariate and Multivariate Model-Based Clustering in
        Group-Specific Functional Subspaces
Version: 2.3.0
Author: A Schmutz, J. Jacques & C. Bouveyron
Maintainer: Charles Bouveyron <charles.bouveyron@gmail.com>
Depends: MASS,fda, R (>= 3.1.0)
Description: 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.
License: GPL-2
Encoding: UTF-8
LazyData: false
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-19 04:16:05 UTC; bouveyro
Repository: CRAN
Date/Publication: 2019-04-19 21:00:07 UTC
Built: R 3.5.3; ; 2020-04-22 03:54:05 UTC; windows
