Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Amandine Pierrot [cre, aut], Qiwei Yao [ctb], Haeran Cho [ctb], Yannig Goude [ctb], Tony Aldon [ctb], EDF [cph, fnd] |
| Maintainer | Amandine Pierrot <amandine.m.pierrot@gmail.com> |
| License | LGPL (>= 2.0) |
| Version | 0.1.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the clr package in your browser
Any scripts or data that you put into this service are public.
