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LPCM (version 0.44-6)

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

1,029

Version

0.44-6

License

GPL (>= 2)

Maintainer

Jochen Einbeck

Last Published

May 11th, 2012

Functions in LPCM (0.44-6)

lpc.spline.auxiliary.functions

Auxiliary functions for spline fitting and projection.

Mean shift clustering.

coverage

Coverage and self-coverage plots.

lpc.control

Auxiliary parameters for controlling local principal curves.

unscale

Unscaling local principal objects.

kernels.and.distances

Auxilary kernel and distance functions.

plot.lpc

Plotting local principal curves

LPCM-package

Local principal curve methods

gaia

Gaia data

print.lpc

Printing output for lpc and lpc.spline objects

lpc.project

Projection onto LPC

lpc

Local principal curves

Measuring goodness-of-fit for principal objects.

gvessel

North Atlantic Water Temperature Data.

followx

Fit an individual branch of a local principal curve.

calspeedflow

Speed-flow data from Calfornia.

lpc.spline

Representing local principal curves through a cubic spline.