Package: FRegSigCom
Type: Package
Title: Functional Regression using Signal Compression Approach
Version: 0.3.0
Author: Ruiyan Luo, Xin Qi
Maintainer: Ruiyan Luo <rluo@gsu.edu>
Description: Signal compression methods for functional regression. It includes various function-on-function (FOF) regression models such as the linear FOF model with functional response and both scalar and functional predictors for a small number of functional predictors, linear FOF models with a large number of functional predictors, linear FOF model for spiky data, stepwise selection for FOF models with two-way interactions, and nonlinear FOF models. It also includes scalar-on-function regression models with single (SOF) or multivariate (mSOF) scalar response variable, and SOF model for spiky data. 
URL: http://sites.gsu.edu/rluo/, http://sites.gsu.edu/xqi3/
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: yes
Imports: Rcpp
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 2.10), fda, Matrix,
Suggests: refund, MASS, wavethresh
Collate: 'ffsig.R' 'ff.wave.sigcom.R' 'ff.spike.R' 'ff.nonlinear.R'
        'ff.interaction.R' 'high_dimensional_function_on_function.R'
        'hd_multi_scalar_on_function.R' 'multi_scalar_on_function.R'
        'spiky.scalar.on.function.R' 'RcppExports.R'
RoxygenNote: 6.1.0
Packaged: 2018-11-14 15:11:27 UTC; Ruiyan
Repository: CRAN
Date/Publication: 2018-11-15 08:20:18 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 06:00:12 UTC; windows
Archs: i386, x64
