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: | 0.1-12 |
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: | 2015-08-06 |
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] |
Maintainer: | Lei Huang <huangracer at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | refund results |
Reference manual: | refund.pdf |
Package source: | refund_0.1-12.tar.gz |
Windows binaries: | r-devel: refund_0.1-12.zip, r-release: refund_0.1-12.zip, r-oldrel: refund_0.1-12.zip |
OS X Snow Leopard binaries: | r-release: refund_0.1-12.tgz, r-oldrel: refund_0.1-11.tgz |
OS X Mavericks binaries: | r-release: refund_0.1-12.tgz |
Old sources: | refund archive |