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clustEff (version 0.3.1)
Clusters of Effects Curves in Quantile Regression Models
Description
Clustering method to cluster both effects curves, through quantile regression coefficient modeling, and curves in functional data analysis. Sottile G. and Adelfio G. (2019)
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Version
Version
0.3.1
0.3.0
0.2.0
0.1.2
Install
install.packages('clustEff')
Monthly Downloads
179
Version
0.3.1
License
GPL-2
Maintainer
Gianluca Sottile
Last Published
January 23rd, 2024
Functions in clustEff (0.3.1)
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summary.fpcac
Summary FPCAC algorithm
internals
Internal Functions
clustEff-package
Clusters of effects curves
plot.fpcac
Plot Functional Principal Component Analysis Clustering
opt.fpcac
Optimal cluster selection in Functional Principal Components Analysis Clustering
extract.object
extract.object
fits a multivariate quantile regression and extracts objects for the cluster effects algorithm.
fpcac
Functional Principal Components Analysis Clustering
clustEff
Cluster Effects Algorithm
summary.clustEff
Summary clustEff algorithm
plot.clustEff
Plot Clustering Effects
distshape
Dissimilarity matrix