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flamingos  

Functional Latent Data Models for Clustering Heterogeneous Curves ('FLaMingos')
View on CRAN: Click here


Download and install flamingos package within the R console
Install from CRAN:
install.packages("flamingos")

Install from Github:
library("remotes")
install_github("cran/flamingos")

Install by package version:
library("remotes")
install_version("flamingos", "0.1.0")



Attach the package and use:
library("flamingos")
Maintained by
Florian Lecocq
[Scholar Profile | Author Map]
First Published: 2019-08-06
Latest Update: 2019-08-06
Description:
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 . The references are mainly the following ones. Chamroukhi F. (2010) . 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) . Chamroukhi F. and Nguyen H-D. (2019) .
How to cite:
Florian Lecocq (2019). flamingos: Functional Latent Data Models for Clustering Heterogeneous Curves ('FLaMingos'). R package version 0.1.0, https://cran.r-project.org/web/packages/flamingos. Accessed 29 Mar. 2025.
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