Local Principal Curve Methods [R package LPCM version 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>.

Version: 0.47-6

Depends: R (≥ 3.5.0)

Suggests: scatterplot3d, lattice, dr, multimode

Published: 2024年08月30日

DOI: 10.32614/CRAN.package.LPCM

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

Maintainer: Jochen Einbeck <jochen.einbeck at durham.ac.uk>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: LPCM results

Documentation:

Reference manual: LPCM.html , LPCM.pdf

Downloads:

Package source: LPCM_0.47-6.tar.gz

Windows binaries: r-devel: LPCM_0.47-6.zip, r-release: LPCM_0.47-6.zip, r-oldrel: LPCM_0.47-6.zip

macOS binaries: r-release (arm64): LPCM_0.47-6.tgz, r-oldrel (arm64): LPCM_0.47-6.tgz, r-release (x86_64): LPCM_0.47-6.tgz, r-oldrel (x86_64): LPCM_0.47-6.tgz

Old sources: LPCM archive

Reverse dependencies:

Reverse suggests: mlr3cluster

Linking:

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