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: 0.1-14
Depends: R (≥ 2.14.0)
Imports: fda, Matrix, lattice, boot, mgcv (≥ 1.8-4), MASS, magic, nlme, gamm4, lme4, RLRsim, splines, grpreg, ggplot2, stats, MCMCpack, pbs, methods
Suggests: RColorBrewer, reshape2
Published: 2016-01-28
Author: Lei Huang [aut, cre], Fabian Scheipl [aut], Jeff Goldsmith [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip Reiss [aut], Yakuan Chen [ctb], Sonja Greven [ctb], Lan Huo [ctb], Madan Gopal Kundu [ctb], Julia Wrobel [ctb], So Young Park [ctb]
Maintainer: Lei Huang <huangracer at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: refund results

Downloads:

Reference manual: refund.pdf
Package source: refund_0.1-14.tar.gz
Windows binaries: r-devel: refund_0.1-14.zip, r-release: refund_0.1-14.zip, r-oldrel: refund_0.1-14.zip
OS X Mavericks binaries: r-release: refund_0.1-14.tgz, r-oldrel: refund_0.1-14.tgz
Old sources: refund archive

Reverse dependencies:

Reverse imports: FDboost, refund.shiny