fdapace: Functional Data Analysis and Empirical Dynamics

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. Please cite our package if you use it (You may run the command devtools::citation("fdapace") to get the citation format and bibtex entry). References: Wang, J.L., Chiou, J., Müller, H.G. (2016) <doi:10.1146/annurev-statistics-041715-033624>; Chen, K., Zhang, X., Petersen, A., Müller, H.G. (2017) <doi:10.1007/s12561-015-9137-5>.

Version: 0.5.0
Imports: Rcpp (≥ 0.11.5), Hmisc, MASS, Matrix, pracma, numDeriv
LinkingTo: Rcpp, RcppEigen
Suggests: plot3D, rgl, aplpack, mgcv, ks, gtools, knitr, EMCluster, minqa, testthat
Published: 2019-08-31
Author: Yaqing Chen [aut, cre], Cody Carroll [aut], Xiongtao Dai [aut], Jianing Fan [aut], Pantelis Z. Hadjipantelis [aut], Kyunghee Han [aut], Hao Ji [aut], Shu-Chin Lin [ctb], Hans-Georg Mueller [cph, ths, aut], Jane-Ling Wang [cph, ths, aut]
Maintainer: Yaqing Chen <yaqchen at ucdavis.edu>
BugReports: https://github.com/functionaldata/tPACE/issues
License: BSD_3_clause + file LICENSE
URL: https://github.com/functionaldata/tPACE
NeedsCompilation: yes
Materials: README NEWS
In views: FunctionalData
CRAN checks: fdapace results

Downloads:

Reference manual: fdapace.pdf
Vignettes: Introduction to fdapace
Package source: fdapace_0.5.0.tar.gz
Windows binaries: r-devel: fdapace_0.5.0.zip, r-release: fdapace_0.5.0.zip, r-oldrel: fdapace_0.5.0.zip
OS X binaries: r-release: fdapace_0.5.0.tgz, r-oldrel: fdapace_0.5.0.tgz
Old sources: fdapace archive

Reverse dependencies:

Reverse depends: LCox
Reverse imports: fdadensity

Linking:

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