Learn R Programming
⚠️There's a newer version (0.47-6) of this package.Take me there.

LPCM (version 0.43)

Local principal curve methods

Description

Fitting multivariate data patterns with local principal curves; including simple tools for data compression (projection), bandwidth selection, and measuring goodness-of-fit.

Copy Link

Version

Install

install.packages('LPCM')

Monthly Downloads

976

Version

0.43

License

GPL (>= 2)

Maintainer

Jochen Einbeck

Last Published

June 15th, 2011

Functions in LPCM (0.43)

Rc

Goodness-of-fit for principal objects
coverage

Coverage and self-coverage plots.
LPCM-package

Local principal curve methods
lpc

Local principal curves
lpc.project

Projection onto LPC
gaia

Gaia data
lpc.spline.auxiliary.functions

Auxiliary functions for spline fitting and projection.
lpc.unscale

Unscaling LPC objects.
kernels.and.distances

Auxilary kernel and distance functions.
print.lpc

Printing output for lpc and lpc.spline objects
lpc.spline

Representing local principal curves through a cubic spline.
lpc.control

Auxiliary parameters for controlling local principal curves.
calspeedflow

Speed-flow data from Calfornia.
followx

Fit an individual branch of a local principal curve.
ms

Mean shift clustering.
gvessel

North Atlantic Water Temperature Data.
plot.lpc

Plotting local principal curves