Functional Latent Data Models for Clustering Heterogeneous Curves ('FLaMingos')

Provides a variety of original and flexible user-friendly statistical latent variable models for the simultaneous clustering and segmentation of heterogeneous functional data (i.e time series, or more generally longitudinal data, fitted by unsupervised algorithms, including EM algorithms. Functional Latent Data Models for Clustering heterogeneous curves ('FLaMingos') are originally introduced and written in 'Matlab' by Faicel Chamroukhi < https://github.com/fchamroukhi?utf8=?&tab=repositories&q=mix&type=public&language=matlab>. The references are mainly the following ones. Chamroukhi F. (2010) < https://chamroukhi.com/FChamroukhi-PhD.pdf>. Chamroukhi F., Same A., Govaert, G. and Aknin P. (2010) . Chamroukhi F., Same A., Aknin P. and Govaert G. (2011). . Same A., Chamroukhi F., Govaert G. and Aknin, P. (2011) . Chamroukhi F., and Glotin H. (2012) . Chamroukhi F., Glotin H. and Same A. (2013) . Chamroukhi F. (2015) < https://chamroukhi.com/FChamroukhi-HDR.pdf>. Chamroukhi F. and Nguyen H-D. (2019) .


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Reference manual

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install.packages("flamingos")

0.1.0 by Florian Lecocq, 19 days ago


https://github.com/fchamroukhi/FLaMingos


Report a bug at https://github.com/fchamroukhi/FLaMingos/issues


Browse source code at https://github.com/cran/flamingos


Authors: Faicel Chamroukhi [aut] , Florian Lecocq [aut, trl, cre] (R port) , Marius Bartcus [aut, trl] (R port)


Documentation:   PDF Manual  


GPL (>= 3) license


Imports methods, stats, Rcpp

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN