Curve Linear Regression via Dimension Reduction
Overview
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.
- Update the DESCRIPTION file with an Authors@R field.
- Fix an accent issue in clr.Rd
- Update URLs when documenting datasets
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-06
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 7includes a package overview page
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 89%
- Return-value docs
- 100%
- Help pages citing references
- 14%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Maintainer since 0.1.0 (2018)
Pick two releases to compare their code metrics.
- 0.1.3Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.22019-07-29 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.1.12019-01-11 · diff ↗
- 0.1.02018-12-03
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-12-03
- Total releases
- 4 / 8 yrs
- License
- LGPL (>= 2.0)
- Copyright
- EDF R&D 2017
- Minimum R
- ≥ 2.10
- Bundled data
- 1.2 MB / 3 files
- Download size
- 1.2 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("clr")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.