Local Principal Curve Methods

Fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering. See Einbeck, Tutz and Evers (2005) and Ameijeiras-Alonso and Einbeck (2023) .


LPCM

This package can be used for fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with additional functionalities for mean shift clustering.

library(LPCM)
data(calspeedflow)
lpc1 <- lpc(calspeedflow[,3:4])
plot(lpc1, lwd=2, curvecol="red")


ms1 <- ms(calspeedflow[,3:4], plot=FALSE)
plot(ms1)

Try ?LPCM, ?lpc and ?ms.

Reference manual

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install.packages("LPCM")

0.47-6 by Jochen Einbeck, 2 years ago


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


Authors: Jochen Einbeck [aut, cre] , Ludger Evers [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Suggests scatterplot3d, lattice, dr, multimode


Suggested by mlr3cluster, tidyclust.


See at CRAN