Functional Regression using Signal Compression Approach

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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("FRegSigCom")

0.3.0 by Ruiyan Luo, 10 months ago


http://sites.gsu.edu/rluo/, http://sites.gsu.edu/xqi3/


Browse source code at https://github.com/cran/FRegSigCom


Authors: Ruiyan Luo , Xin Qi


Documentation:   PDF Manual  


GPL-2 license


Imports Rcpp

Depends on fda, Matrix

Suggests refund, MASS, wavethresh

Linking to Rcpp, RcppEigen


See at CRAN