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LPCM (version 0.41-6)

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.

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Version

Install

install.packages('LPCM')

Monthly Downloads

2,652

Version

0.41-6

License

GPL (>= 2)

Maintainer

Jochen Einbeck

Last Published

November 23rd, 2010

Functions in LPCM (0.41-6)

followx

Fit an individual branch of a local principal curve.
lpc.unscale

Unscaling LPC objects.
lpc.spline.auxiliary.functions

Auxiliary functions for spline fitting and projection.
kernels.and.distances

Auxilary kernel and distance functions.
calspeedflow

Speed-flow data from Calfornia.
lpc.spline

Representing local principal curves through a cubic spline.
gvessel

North Atlantic Water Temperature Data.
plot.lpc

Plotting local principal curves
lpc.project

Projection onto LPC
gaia

Gaia data
coverage

Coverage and self-coverage plots.
lpc.control

Auxiliary parameters for controlling local principal curves.
print.lpc

Printing output for lpc and lpc.spline objects
ms

Mean shift clustering.
Rc

Goodness-of-fit for principal curves
LPCM-package

Local principal curve methods
lpc

Local principal curves