The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

clr: Curve Linear Regression via Dimension Reduction

A new methodology for linear regression with both curve response and curve regressors, which is described in Cho, Goude, Brossat and Yao (2013) <doi:10.1080/01621459.2012.722900> and (2015) <doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is dimension reduction based on a singular value decomposition in a Hilbert space, which reduces the curve regression problem to several scalar linear regression problems.

Version: 0.1.2
Depends: R (≥ 2.10)
Imports: magrittr, lubridate, dplyr, stats
Published: 2019-07-29
DOI: 10.32614/CRAN.package.clr
Author: Amandine Pierrot with contributions and/or help from Qiwei Yao, Haeran Cho, Yannig Goude and Tony Aldon.
Maintainer: Amandine Pierrot <amandine.m.pierrot at gmail.com>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.0)]
Copyright: EDF R&D 2017
NeedsCompilation: no
Materials: README NEWS
CRAN checks: clr results

Documentation:

Reference manual: clr.pdf

Downloads:

Package source: clr_0.1.2.tar.gz
Windows binaries: r-devel: clr_0.1.2.zip, r-release: clr_0.1.2.zip, r-oldrel: clr_0.1.2.zip
macOS binaries: r-release (arm64): clr_0.1.2.tgz, r-oldrel (arm64): clr_0.1.2.tgz, r-release (x86_64): clr_0.1.2.tgz, r-oldrel (x86_64): clr_0.1.2.tgz
Old sources: clr archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.