Package: LPCM 0.47-6

LPCM: Local Principal Curve Methods

Fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering. See Einbeck, Tutz and Evers (2005) <doi:10.1007/s11222-005-4073-8> and Ameijeiras-Alonso and Einbeck (2023) <doi:10.1007/s11634-023-00575-1>.

Authors:Jochen Einbeck [aut, cre], Ludger Evers [aut]

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manual.pdf |manual.html✨
card.svg |card.png
LPCM/json (API)
NEWS

# Install 'LPCM' in R:
install.packages('LPCM', repos = c('https://jeinbeck-code.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.78 score 36 scripts 3.3k downloads 30 exports 0 dependencies

Last updated from:1fbc8b6fa2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK116
source / vignettesOK148
linux-release-x86_64OK108
macos-release-arm64OK122
macos-oldrel-arm64OK208
windows-develOK88
windows-releaseOK130
windows-oldrelOK72
wasm-releaseOK82

Exports:base.Rccoveragecoverage.rawdistancevectorenormfollowxkdexkernkerndlpclpc.controllpc.coveragelpc.curve.lengthlpc.fit.splinelpc.projectlpc.project.splinelpc.self.coveragelpc.splinelpc.spline.evallpc.splinefunmeanshiftmindistmsms.repms.rep.minms.self.coverageRcselect.self.coverageunscalevecdist

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Local principal curve methodsLPCM-package LPCM
Speed-flow data from California.calspeedflow
Coverage and self-coverage plots.coverage coverage.raw lpc.coverage lpc.self.coverage ms.self.coverage select.self.coverage
Fit an individual branch of a local principal curve.followx
Gaia datagaia
North Atlantic Water Temperature Data.gvessel
Auxiliary kernel and distance functions.distancevector enorm kdex kern kernd mindist vecdist
Local principal curveslpc
Auxiliary parameters for controlling local principal curves.lpc.control
Projection onto LPClpc.project
Representing local principal curves through a cubic spline.lpc.spline
Auxiliary functions for spline fitting and projection.lpc.curve.length lpc.fit.spline lpc.project.spline lpc.spline.eval lpc.splinefun
Mean shift clustering.ms
Mean shift procedures.meanshift ms.rep ms.rep.min
Plotting local principal curves and mean shift trajectoriesplot.lpc plot.lpc.spline plot.ms
Printing output for lpc, lpc.spline, and ms objectsprint.lpc print.lpc.spline print.ms
Measuring goodness-of-fit for principal objects.base.Rc Rc Rc.lpc Rc.lpc.spline Rc.ms
Unscaling local principal objects.unscale unscale.lpc unscale.lpc.spline unscale.ms