fdarep: Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for
Repeated Functional Data
Provides an implementation of two-dimensional functional principal component analysis (FPCA), Marginal FPCA, and Product FPCA for repeated functional data. Marginal and Product FPCA implementations are done for both dense and sparsely observed functional data.
References: Chen, K., Delicado, P., & Müller, H. G. (2017) <doi:10.1111/rssb.12160>.
Chen, K., & Müller, H. G. (2012) <doi:10.1080/01621459.2012.734196>.
Hall, P., Müller, H.G. and Wang, J.L. (2006) <doi:10.1214/009053606000000272>.
Yao, F., Müller, H. G., & Wang, J. L. (2005) <doi:10.1198/016214504000001745>.
| Version: |
0.1.1 |
| Imports: |
Rcpp (≥ 0.11.5), fdapace, Hmisc, stats, MASS, Matrix, pracma, numDeriv |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2024-03-06 |
| Author: |
Poorbita Kundu [aut, cre],
Changbo Zhu [aut],
Kehui Chen [aut],
Pedro Delicado [aut],
Su I Iao [aut],
Hang Zhou [aut],
Han Chen [aut],
Muqing Cui [aut],
Hans-Georg Müller [cph, ths, aut] |
| Maintainer: |
Poorbita Kundu <pkundu at ucdavis.edu> |
| BugReports: |
https://github.com/functionaldata/tFDArep/issues |
| License: |
BSD_3_clause + file LICENSE |
| URL: |
https://github.com/functionaldata/tFDArep |
| NeedsCompilation: |
yes |
| CRAN checks: |
fdarep results |
Documentation:
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