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

LPCM (version 0.44-5)

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

990

Version

0.44-5

License

GPL (>= 2)

Maintainer

Jochen Einbeck

Last Published

September 28th, 2011

Functions in LPCM (0.44-5)

calspeedflow

Speed-flow data from Calfornia.

lpc.control

Auxiliary parameters for controlling local principal curves.

lpc.spline.auxiliary.functions

Auxiliary functions for spline fitting and projection.

Measuring goodness-of-fit for principal objects.

lpc

Local principal curves

followx

Fit an individual branch of a local principal curve.

lpc.project

Projection onto LPC

unscale

Unscaling local principal objects.

print.lpc

Printing output for lpc and lpc.spline objects

gvessel

North Atlantic Water Temperature Data.

LPCM-package

Local principal curve methods

lpc.spline

Representing local principal curves through a cubic spline.

coverage

Coverage and self-coverage plots.

gaia

Gaia data

plot.lpc

Plotting local principal curves

Mean shift clustering.

kernels.and.distances

Auxilary kernel and distance functions.