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 Einbeck (2011) <doi:10.13176/11.288>.

Version: 0.47-3
Depends: R (≥ 3.5.0)
Suggests: scatterplot3d, lattice, dr, multimode
Published: 2023-01-06
Author: Jochen Einbeck and Ludger Evers
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.pdf

Downloads:

Package source: LPCM_0.47-3.tar.gz
Windows binaries: r-devel: LPCM_0.47-3.zip, r-release: LPCM_0.47-3.zip, r-oldrel: LPCM_0.47-3.zip
macOS binaries: r-release (arm64): LPCM_0.47-3.tgz, r-oldrel (arm64): LPCM_0.47-3.tgz, r-release (x86_64): LPCM_0.47-3.tgz
Old sources: LPCM archive

Reverse dependencies:

Reverse imports: IPCAPS
Reverse suggests: mlr3cluster

Linking:

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