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.


Reference manual

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0.3.0 by Ruiyan Luo, 2 years ago,

Browse source code at

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