FRegSigCom: Functional Regression using Signal Compression Approach

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, stepwise selection for FOF models with two-way interactions, and nonlinear models. References are linked to via the URL below.

Version: 0.2.1
Depends: fda, Matrix
Imports: Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: refund, MASS
Published: 2018-04-24
Author: Ruiyan Luo, Xin Qi
Maintainer: Ruiyan Luo <rluo at>
License: GPL-2
NeedsCompilation: yes
CRAN checks: FRegSigCom results


Reference manual: FRegSigCom.pdf
Package source: FRegSigCom_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: FRegSigCom_0.1.0.tgz, r-oldrel: FRegSigCom_0.1.0.tgz
Old sources: FRegSigCom archive


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