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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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Description file content

Package
refund
Type
Package
Title
Regression with Functional Data
Version
0.1-17
Date
2018-05-15
Depends
R (>= 2.14.0)
Imports
fda, Matrix, lattice, boot, mgcv (>= 1.8-12), MASS, magic, nlme, gamm4, lme4, RLRsim, splines, grpreg, ggplot2, stats, pbs, methods
Suggests
RColorBrewer, reshape2, dtw
Description
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.
License
GPL (>= 2)
LazyLoad
yes
LazyData
true
Repository
CRAN
Collate
'Omegas.R' 'af.R' 'af_old.R' 'amc.R' 'ccb.fpc.R' 'create.prep.func.R' 'coefficients.pfr.R' 'dt_basis.R' 'irreg2mat.R' 'fbps.R' 'fgam.R' 'fosr.R' 'fosr.perm.R' 'fosr.perm.fit.R' 'fosr.perm.test.R' 'fosr.vs.R' 'fosr2s.R' 'fpc.R' 'fpca2s.R' 'fpca.sc.R' 'fpca.face.R' 'fpca.ssvd.R' 'fpcr.R' 'fpcr.setup.R' 'lf.R' 'lf_old.R' 'lf.vd.R' 'lofocv.R' 'lpeer.R' 'lpfr.R' 'quadWeights.R' 'lw.test.R' 'osplinepen2d.R' 'parse.predict.pfr.R' 'peer.R' 'peer_old.R' 'pffr-ff.R' 'pffr-ffpc.R' 'pffr-methods.R' 'pffr-pcre.R' 'pffr-robust.R' 'pffr-sff.R' 'pffr-utilities.R' 'pffr.R' 'pfr.R' 'pfr_old.R' 'pi_basis.R' 'plot.fosr.R' 'plot.fosr.perm.R' 'plot.fosr.vs.R' 'plot.fpcr.R' 'plot.lpeer.R' 'plot.peer.R' 'plot.pfr.R' 'poridge.R' 'postprocess.pfr.R' 'predict.fgam.R' 'predict.pfr.R' 'predict.pfr_old.R' 'preprocess.pfr.R' 'pspline.setting.R' 'pwcv.R' 'summary.pfr.R' 're.R' 'rlrt.pfr.R' 'vis.fgam.R' 'predict.fosr.vs.R' 'CD4-data.R' 'DTI-data.R' 'DTI2-data.R' 'PEER.Sim-data.R' 'gasoline-data.R' 'vis.pfr.R' 'GLS_CS.R' 'Gibbs_CS_FPCA.R' 'Gibbs_CS_Wish.R' 'Gibbs_Mult_FPCA.R' 'Gibbs_Mult_Wish.R' 'OLS_CS.R' 'VB_CS_FPCA.R' 'VB_CS_Wish.R' 'VB_Mult_FPCA.R' 'VB_Mult_Wish.R' 'XtSiginvX.R' 'bayes_fosr.R' 'f_sum.R' 'f_sum2.R' 'f_sum4.R' 'f_trace.R' 'mfpca.sc.R' 'fpca.lfda.R' 'predict.fbps.R' 'select_knots.R'
RoxygenNote
6.0.1
Packaged
2018-05-15 12:53:12 UTC; juliawrobel
Author
Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], 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]
NeedsCompilation
no
Maintainer
Julia Wrobel
Date/Publication
2018-05-15 16:39:40 UTC

install.packages('refund')

0.1-17

6 months ago

Julia Wrobel

GPL (>= 2)

Depends on

R (>= 2.14.0)

Imports

fda, Matrix, lattice, boot, mgcv (>= 1.8-12), MASS, magic, nlme, gamm4, lme4, RLRsim, splines, grpreg, ggplot2, stats, pbs, methods

Suggests

RColorBrewer, reshape2, dtw

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