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refund-package

Regression with Functional Data


Description

Methods for regression with functional data. Various approaches to regression with scalar responses and functional predictors are implemented by pfr, peer, lpeer and fpcr. For regression with functional responses, see pffr, fosr, and fosr2s.

Details

For a complete list of functions type library(help=refund).

Author(s)

Authors: Jeff Goldsmith jeff.goldsmith@columbia.edu, Fabian Scheipl fabian.scheipl@stat.uni-muenchen.de, Lei Huang huangracer@gmail.com, Julia Wrobel jw3134@cumc.columbia.edu, Jonathan Gellar jgellar1@jhu.edu, Jaroslaw Harezlak, Mathew W. McLean mathew.w.mclean@gmail.com, Bruce Swihart bswihart@jhsph.edu, Luo Xiao lxiao@jhsph.edu, Ciprian Crainiceanu ccrainic@jhsph.edu, Philip Reiss phil.reiss@nyumc.org.

Contributors: Yakuan Chen, Sonja Greven, Lan Huo, Madan Gopal Kundu, Ana-Maria Staicu, David L. Miller, So Young Park

Maintainer: Lei Huang huangracer@gmail.com


refund

Regression with Functional Data

v0.1-23
GPL (>= 2)
Authors
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]
Initial release
2020-12-03

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