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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling source/ R- | fdarep_0.1.1.tar.gz |
25.6 KiB |
0.1.1 |
latest source/ R- | fdarep_0.1.1.tar.gz |
25.6 KiB |
0.1.1 |
2026-04-23 source/ R- | fdarep_0.1.1.tar.gz |
25.6 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | fdarep_0.1.1.zip |
530.0 KiB |