LPCM: Local Principal Curve Methods

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

AuthorJochen Einbeck and Ludger Evers
Date of publication2015-09-22 13:00:32
MaintainerJochen Einbeck <jochen.einbeck@durham.ac.uk>
LicenseGPL (>= 2)
Version0.45-0

View on CRAN

Functions

base.Rc Man page
calspeedflow Man page
coverage Man page
coverage.raw Man page
distancevector Man page
enorm Man page
followx Man page
gaia Man page
gvessel Man page
kdex Man page
kern Man page
kernd Man page
lpc Man page
lpc.control Man page
lpc.coverage Man page
lpc.curve.length Man page
lpc.fit.spline Man page
LPCM Man page
LPCM-package Man page
lpc.project Man page
lpc.project.spline Man page
lpc.self.coverage Man page
lpc.spline Man page
lpc.spline.eval Man page
lpc.splinefun Man page
meanshift Man page
mindist Man page
ms Man page
ms.rep Man page
ms.self.coverage Man page
plot.lpc Man page
plot.lpc.spline Man page
print.lpc Man page
print.lpc.spline Man page
Rc Man page
Rc.lpc Man page
Rc.lpc.spline Man page
Rc.ms Man page
select.self.coverage Man page
unscale Man page
unscale.lpc Man page
unscale.lpc.spline Man page
unscale.ms Man page
vecdist Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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