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]
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 0.6.0, https://cran.r-project.org/web/packages/fdapace. Accessed 31 Mar. 2025.
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), 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
03/0103/0203/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/29Downloads for fdapace20406080100120140160180200TrendBars

Today's Hot Picks in Authors and Packages

surveillance  
Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Statistical methods for the modeling and monitoring of time series of counts, proportions and catego ...
Download / Learn more Package Citations See dependency  
whitebox  
'WhiteboxTools' R Frontend
An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platfor ...
Download / Learn more Package Citations See dependency  
bodycomp  
Percent Body Fat Values Using Anthropometric Prediction Equations
Skinfold measurements is one of the most popular and practical methods for estimating percent body f ...
Download / Learn more Package Citations See dependency  
PermutationR  
Conduct Permutation Analysis of Variance in R
Conduct permutation One-Way or Two-Way Analysis of Variance in R. Use different permutation types fo ...
Download / Learn more Package Citations See dependency  
tclust  
Robust Trimmed Clustering
Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (200 ...
Download / Learn more Package Citations See dependency  
equivUMP  
Uniformly Most Powerful Invariant Tests of Equivalence
Implementation of uniformly most powerful invariant equivalence tests for one- and two-sample probl ...
Download / Learn more Package Citations See dependency  

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

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