FRegSigCom (0.3.0)

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Functional Regression using Signal Compression Approach.

http://sites.gsu.edu/rluo/
http://sites.gsu.edu/xqi3/
http://cran.r-project.org/web/packages/FRegSigCom

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.

Maintainer: Ruiyan Luo
Author(s): Ruiyan Luo, Xin Qi

License: GPL-2

Uses: fda, Matrix, Rcpp, wavethresh, MASS, refund

Released 3 months ago.


3 previous versions

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