refund (0.1-4)

Regression with Functional Data.

http://cran.r-project.org/web/packages/refund

Functions for regression with functional data. The principal methods currently implemented are (I) regression of scalar responses on functional predictors, by (longitudinal) penalized functional regression and functional principal component regression; and (II) regression of functional responses on scalar predictors, by penalized OLS or GLS.

Maintainer: Lei Huang
Author(s): Coordinating authors: Ciprian Crainiceanu <ccrainic@jhsph.edu> and Philip Reiss <phil.reiss@nyumc.org>. Contributors: Jeff Goldsmith <jgoldsmi@jhsph.edu> and Lei Huang <huangracer@gmail.com>

License: GPL (>= 2)

Uses: fda, mgcv
Reverse depends: sparseFLMM
Reverse suggests: FDboost, FRegSigCom, mlr

Released about 8 years ago.