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: 2.1.5
Depends: R (≥ 3.0)
Imports: stats, graphics, grDevices, Rcpp
LinkingTo: Rcpp
Suggests: devtools, testthat
Published: 2020-08-25
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

Downloads:

Reference manual: princurve.pdf
Package source: princurve_2.1.5.tar.gz
Windows binaries: r-devel: princurve_2.1.5.zip, r-release: princurve_2.1.5.zip, r-oldrel: princurve_2.1.5.zip
macOS binaries: r-release: princurve_2.1.5.tgz, r-oldrel: princurve_2.1.5.tgz
Old sources: princurve archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=princurve to link to this page.