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.


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Reference manual

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install.packages("refund")

0.1-16 by Lei Huang, a year ago


Browse source code at https://github.com/cran/refund


Authors: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut, cre], Julia Wrobel [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]


Documentation:   PDF Manual  


Task views: Functional Data Analysis


GPL (>= 2) license


Imports fda, Matrix, lattice, boot, mgcv, MASS, magic, nlme, gamm4, lme4, RLRsim, splines, grpreg, ggplot2, stats, pbs, methods

Suggests RColorBrewer, reshape2, dtw


Imported by refund.shiny.

Depended on by sparseFLMM.

Suggested by FDboost, FRegSigCom.


See at CRAN