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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: 0.1-37
Depends: R (≥ 3.5.0)
Imports: fda, Matrix, lattice, boot, mgcv (≥ 1.9), MASS, magic, nlme, gamm4, lme4, RLRsim, splines, grpreg, ggplot2, stats, pbs, methods
Suggests: RColorBrewer, reshape2, testthat
Published: 2024-09-20
DOI: 10.32614/CRAN.package.refund
Author: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. Reiss [aut], Yakuan Chen [ctb], Sonja Greven [ctb], Lan Huo [ctb], Madan Gopal Kundu [ctb], So Young Park [ctb], David L. Miller [ctb], Ana-Maria Staicu [ctb], Erjia Cui [aut], Ruonan Li [ctb], Zheyuan Li [ctb]
Maintainer: Julia Wrobel <julia.wrobel at emory.edu>
BugReports: https://github.com/refunders/refund/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/refunders/refund
NeedsCompilation: no
In views: FunctionalData
CRAN checks: refund results

Documentation:

Reference manual: refund.pdf

Downloads:

Package source: refund_0.1-37.tar.gz
Windows binaries: r-devel: refund_0.1-37.zip, r-release: refund_0.1-37.zip, r-oldrel: refund_0.1-37.zip
macOS binaries: r-release (arm64): refund_0.1-37.tgz, r-oldrel (arm64): refund_0.1-37.tgz, r-release (x86_64): refund_0.1-37.tgz, r-oldrel (x86_64): refund_0.1-37.tgz
Old sources: refund archive

Reverse dependencies:

Reverse depends: funmediation, sparseFLMM
Reverse imports: fastFMM, longsurr, MJMbamlss, mMARCH.AC, mxfda, postGGIR, refund.shiny, rmfanova
Reverse suggests: FDboost, fPASS, ghcm, gmfamm, mlr, runDRT, spfda, tf

Linking:

Please use the canonical form https://CRAN.R-project.org/package=refund to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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