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fdapace  

Functional Data Analysis and Empirical Dynamics
View on CRAN: Click here


Download and install fdapace package within the R console
Install from CRAN:
install.packages("fdapace")

Install from Github:
library("remotes")
install_github("cran/fdapace")

Install by package version:
library("remotes")
install_version("fdapace", "0.5.9")



Attach the package and use:
library("fdapace")
Maintained by
Yidong Zhou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-13
Latest Update: 2022-08-16
Description:
A versatile package that provides implementation of various methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm. This core algorithm yields covariance and mean functions, eigenfunctions and principal component (scores), for both functional data and derivatives, for both dense (functional) and sparse (longitudinal) sampling designs. For sparse designs, it provides fitted continuous trajectories with confidence bands, even for subjects with very few longitudinal observations. PACE is a viable and flexible alternative to random effects modeling of longitudinal data. There is also a Matlab version (PACE) that contains some methods not available on fdapace and vice versa. Updates to fdapace were supported by grants from NIH Echo and NSF DMS-1712864 and DMS-2014626. Please cite our package if you use it (You may run the command citation("fdapace") to get the citation format and bibtex entry). References: Wang, J.L., Chiou, J., M
How to cite:
Yidong Zhou (2016). fdapace: Functional Data Analysis and Empirical Dynamics. R package version 0.5.9, https://cran.r-project.org/web/packages/fdapace
Previous versions and publish date:
0.1.0 (2016-03-13 11:29), 0.1.1 (2016-03-15 00:04), 0.2.0 (2016-06-18 10:11), 0.2.5 (2016-07-15 10:19), 0.3.0 (2017-01-25 09:02), 0.4.0 (2018-02-25 17:59), 0.4.1 (2019-03-19 22:30), 0.5.0 (2019-08-31 23:40), 0.5.1 (2019-09-27 19:40), 0.5.2 (2020-02-15 22:20), 0.5.3 (2020-05-15 07:50), 0.5.4 (2020-06-19 07:40), 0.5.5 (2020-07-29 07:10), 0.5.6 (2021-01-11 23:40), 0.5.7 (2021-05-24 06:20), 0.5.8 (2021-11-22 23:40)
Other packages that cited fdapace R package
View fdapace citation profile
Other R packages that fdapace depends, imports, suggests or enhances
Functions, R codes and Examples using the fdapace R package
Some associated functions: BwNN . CheckData . CheckOptions . ConvertSupport . CreateBWPlot . CreateBasis . CreateCovPlot . CreateDesignPlot . CreateFuncBoxPlot . CreateModeOfVarPlot . CreateOutliersPlot . CreatePathPlot . CreateScreePlot . CreateStringingPlot . DynCorr . Dyn_test . FAM . FCCor . FCReg . FClust . FLM . FLM1 . FOptDes . FPCA . FPCAder . FPCquantile . FSVD . FVPA . GetCovSurface . GetCrCorYX . GetCrCorYZ . GetCrCovYX . GetCrCovYZ . GetMeanCI . GetMeanCurve . GetNormalisedSample . Lwls1D . Lwls2D . Lwls2DDeriv . MakeBWtoZscore02y . MakeFPCAInputs . MakeGPFunctionalData . MakeHCtoZscore02y . MakeLNtoZscore02y . MakeSparseGP . MultiFAM . NormCurvToArea . SBFitting . SelectK . SetOptions . Sparsify . Stringing . TVAM . VCAM . WFDA . Wiener . cumtrapzRcpp . fdapace . fitted.FPCA . fitted.FPCAder . kCFC . medfly25 . plot.FPCA . predict.FPCA . print.FPCA . print.FSVD . print.WFDA . str.FPCA . trapzRcpp . 
Some associated R codes: BestDes_SR.R . BestDes_TR.R . BinData.R . BinRawCov.R . BwNN.R . CVLwls1D.R . CheckAndCreateCOPoptions.R . CheckData.R . CheckOptions.R . CheckSVDOptions.R . CompFntCent.R . CondProjection.R . ConvertSupport.R . CreateBWPlot.R . CreateBasis.R . CreateCovPlot.R . CreateDesignPlot.R . CreateDiagnosticsPlot.R . CreateFolds.R . CreateFuncBoxPlot.R . CreateModeOfVarPlot.R . CreateOutliersPlot.R . CreatePathPlot.R . CreateScreePlot.R . CreateStringingPlot.R . CreateTrueMean.R . DesignPlotCount.R . DynCorr.R . Dyn_test.R . FAM.R . FCCor.R . FCReg.R . FClust.R . FLM.R . FLM1.R . FOptDes.R . FPCA.R . FPCAder.R . FPCquantile.R . FSVD.R . FVPA.R . FitEigenValues.R . GCVLwls1D1.R . GCVLwls2DV2.R . GenBSpline.R . GenerateFunctionalData.R . GetBinNum.R . GetBinnedCurve.R . GetBinnedDataset.R . GetCEScores.R . GetCount.R . GetCovDense.R . GetCovSurface.R . GetCrCorYX.R . GetCrCorYZ.R . GetCrCovYX.R . GetCrCovYX_old.R . GetCrCovYZ.R . GetEigenAnalysisResults.R . GetINScores.R . GetLogLik.R . GetMeanCI.R . GetMeanCurve.R . GetMeanDense.R . GetMinb.R . GetNormalisedSample.R . GetRawCov.R . GetRawCrCovFuncFunc.R . GetRawCrCovFuncScal.R . GetRho.R . GetSmoothedCovarSurface.R . GetSmoothedMeanCurve.R . GetUserCov.R . GetUserMeanCurve.R . HandleNumericsAndNAN.R . IsRegular.R . List2Mat.R . Lwls1D.R . Lwls2D.R . Lwls2DDeriv.R . MCVOptRidge.R . MakeBWtoZscore02y.R . MakeFPCAInputs.R . MakeGPFunctionalData.R . MakeHCtoZscore02y.R . MakeLNtoZscore02y.R . MakeResultFPCA.R . MakeSparseGP.R . MapX1D.R . MgnJntDensity.R . Minb.R . MultiFAM.R . NWMgnReg.R . NormCurveToArea.R . NormKernel.R . PC_CovE.R . RcppExports.R . RotateLwls2DV2.R . SBFCompUpdate.R . SBFitting.R . ScaleKernel.R . SelectK.R . SetDerOptions.R . SetOptions.R . SetSVDOptions.R . Sparsify.R . Stringing.R . SubsetFPCA.R . TVAM.R . TruncateObs.R . VCAM.R . WFDA.R . Wiener.R . demeanFuc.R . fitted.FPCA.R . fitted.FPCAder.R . kCFC.R . medfly25.R . pkgname.R . plot.FPCA.R . predict.FPCA.R . print.FPCA.R . print.FSVD.R . print.WFDA.R . str.FPCA.R .  Full fdapace package functions and examples
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