FRegSigCom (0.3.0)

0 users

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.

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

License: GPL-2

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

Released over 1 year ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of FRegSigCom yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for FRegSigCom on google, google scholar, r-help, r-devel.

Visit FRegSigCom on R Graphical Manual.