funpca
Functional Principal Component Analysis
Functional principal component analysis under the Linear Mixed Models representation of smoothing splines. The method utilizes the Demmler-Reinsch basis and assumes error independence. For more details see: F. Rosales (2016) <https://ediss.uni-goettingen.de/handle/11858/00-1735-0000-0028-87F9-6>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
9.0 |
rolling source/ R- | funpca_9.0.tar.gz |
9.9 KiB |
9.0 |
rolling linux/jammy R-4.5 | funpca_9.0.tar.gz |
81.4 KiB |
9.0 |
latest source/ R- | funpca_9.0.tar.gz |
9.9 KiB |
9.0 |
latest linux/jammy R-4.5 | funpca_9.0.tar.gz |
81.4 KiB |
9.0 |
2026-04-23 source/ R- | funpca_9.0.tar.gz |
9.9 KiB |
9.0 |
2026-04-09 windows/windows R-4.5 | funpca_9.0.zip |
83.8 KiB |
9.0 |
2025-04-20 source/ R- | funpca_9.0.tar.gz |
9.9 KiB |