princurve: Fit a Principal Curve in Arbitrary Dimension

Fitting a principal curve to a data matrix in arbitrary dimensions. Hastie and Stuetzle (1989) <doi:10.2307/2289936>.

Version: 2.1.6
Depends: R (≥ 3.0)
Imports: stats, graphics, grDevices, Rcpp
LinkingTo: Rcpp
Suggests: devtools, testthat
Published: 2021-01-18
Author: Trevor Hastie [aut], Andreas Weingessel [aut], Kurt Hornik ORCID iD [aut], Henrik Bengtsson [ctb] (HenrikBengtsson), Robrecht Cannoodt ORCID iD [aut, cre] (rcannood)
Maintainer: Robrecht Cannoodt <rcannood at gmail.com>
BugReports: https://github.com/rcannood/princurve/issues
License: GPL-2
URL: https://github.com/rcannood/princurve
NeedsCompilation: yes
Citation: princurve citation info
Materials: README NEWS
CRAN checks: princurve results

Documentation:

Reference manual: princurve.pdf

Downloads:

Package source: princurve_2.1.6.tar.gz
Windows binaries: r-devel: princurve_2.1.6.zip, r-devel-UCRT: princurve_2.1.6.zip, r-release: princurve_2.1.6.zip, r-oldrel: princurve_2.1.6.zip
macOS binaries: r-release (arm64): princurve_2.1.6.tgz, r-release (x86_64): princurve_2.1.6.tgz, r-oldrel: princurve_2.1.6.tgz
Old sources: princurve archive

Reverse dependencies:

Reverse depends: slingshot
Reverse imports: analogue, ClusterSignificance, FateID, mappoly, MDSMap, onemap, pathifier, RSDA, SCORPIUS, tradeSeq, traviz
Reverse suggests: aroma.light

Linking:

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