Other packages > Find by keyword >

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", "0.6.0")



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: 2024-07-03
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 0.6.0, https://cran.r-project.org/web/packages/fdapace. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:38), 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), 0.5.9 (2022-08-16 15:00)
Other packages that cited fdapace R package
View fdapace citation profile
Other R packages that fdapace depends, imports, suggests or enhances
Complete documentation for fdapace
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA