Principal curves generalize the notion of a first principal component to the case in which it is a nonlinear smooth curve. This package provides a function pcop(X) to compute principal curves with the algorithm defined in Delicado (2001) <doi:10.1006/jmva.2000.1917> from a data matrix X.
| Version: |
1.2.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp (≥ 1.0.7), princurve |
| LinkingTo: |
Rcpp |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-06-24 |
| DOI: |
10.32614/CRAN.package.Rpcop |
| Author: |
Pedro Delicado [aut] (Original C++ author),
Mario Huerta [aut] (Original C++ author),
Kevin Michael Frick [trl, aut, cre] (Modern C++ fixes and Rcpp port,
with permission from the original authors),
Stephen L. Moshier [cph] (Author of eigens() for symmetric matrix
eigendecomposition) |
| Maintainer: |
Kevin Michael Frick <kmfrick at proton.me> |
| BugReports: |
https://github.com/kmfrick/Rpcop/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/kmfrick/Rpcop |
| NeedsCompilation: |
yes |
| Citation: |
Rpcop citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
Rpcop results |