Signal compression methods for function-on-function (FOF) regression with functional response and functional predictors, including linear models with both scalar and functional predictors for a small number of functional predictors, linear models with functional predictors for a large number of functional predictors, and nonlinear models. Ruiyan Luo and Xin Qi (2017) <doi:10.1080/01621459.2016.1164053>.
Version: | 0.1.0 |
Imports: | fda |
Suggests: | refund, MASS |
Published: | 2017-09-06 |
Author: | Ruiyan Luo, Xin Qi |
Maintainer: | Ruiyan Luo <rluo at gsu.edu> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | FRegSigCom results |
Reference manual: | FRegSigCom.pdf |
Package source: | FRegSigCom_0.1.0.tar.gz |
Windows binaries: | r-devel: FRegSigCom_0.1.0.zip, r-release: FRegSigCom_0.1.0.zip, r-oldrel: FRegSigCom_0.1.0.zip |
OS X El Capitan binaries: | r-release: FRegSigCom_0.1.0.tgz |
OS X Mavericks binaries: | r-oldrel: FRegSigCom_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=FRegSigCom to link to this page.