refund: Regression with Functional Data

Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.

Version: 0.1-11
Depends: R (≥ 2.14.0), fda
Imports: lattice, boot, mgcv (≥ 1.7-28), MASS, glmnet, magic, nlme, wavethresh, Matrix, gamm4, matrixStats, lme4, splines, RLRsim
Published: 2014-06-28
Author: Ciprian Crainiceanu [aut], Philip Reiss [aut], Jeff Goldsmith [aut], Lei Huang [aut, cre], Lan Huo [aut], Fabian Scheipl [aut], Bruce Swihart [ctb], Sonja Greven [ctb], Jaroslaw Harezlak [ctb], Madan Gopal Kundu [ctb], Yihong Zhao [ctb], Matt McLean [ctb], Luo Xiao [ctb]
Maintainer: Lei Huang <huangracer at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: refund results


Reference manual: refund.pdf
Package source: refund_0.1-11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-oldrel: refund_0.1-11.tgz
OS X Mavericks binaries: r-release: refund_0.1-11.tgz
Old sources: refund archive