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funLBM (version 2.3)
Model-Based Co-Clustering of Functional Data
Description
The funLBM algorithm allows to simultaneously cluster the rows and the columns of a data matrix where each entry of the matrix is a function or a time series.
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Link to current version
Version
Version
2.3
2.2
2.1
1.0
Install
install.packages('funLBM')
Monthly Downloads
190
Version
2.3
License
GPL (>= 2)
Maintainer
Charles Bouveyron
Last Published
April 11th, 2022
Functions in funLBM (2.3)
Search all functions
ari
Adjusted Rand index
print.funLBM
Printing co-clustering results of funLBM
simulateData2
Simulate bivariate data for funLBM
simulateData
Simulate data for funLBM
plot.fd
Plot a Functional Data Object
plot.funLBM
Plotting co-clustering results of funLBM
Velib
The Velib data set.
funLBM
The functional latent block model