princurve: Fits a Principal Curve in Arbitrary Dimension

Fitting a principal curve to a data matrix in arbitrary dimensions.

Version: 2.1.2.1
Depends: R (≥ 3.0)
Imports: stats, graphics, grDevices, Rcpp
LinkingTo: Rcpp
Suggests: devtools, dplyr, ggplot2, knitr, magick, microbenchmark, purrr, rmarkdown, testthat, tidyr
Published: 2018-08-02
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/dynverse/princurve/issues
License: GPL-2
URL: https://github.com/dynverse/princurve
NeedsCompilation: yes
SystemRequirements: ImageMagick++: ImageMagick-c++-devel (rpm) or libmagick++-dev (deb)
Citation: princurve citation info
Materials: README NEWS
CRAN checks: princurve results

Downloads:

Reference manual: princurve.pdf
Vignettes: Introduction to the princurve package
Package source: princurve_2.1.2.1.tar.gz
Windows binaries: r-devel: princurve_2.1.2.1.zip, r-release: princurve_2.1.2.1.zip, r-oldrel: princurve_2.1.2.1.zip
OS X binaries: r-release: princurve_2.1.2.1.tgz, r-oldrel: princurve_2.1.2.1.tgz
Old sources: princurve archive

Reverse dependencies:

Reverse imports: analogue, FateID, lilikoi, MDSMap, RSDA, SCORPIUS

Linking:

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