SLFPCA
Sparse Logistic Functional Principal Component Analysis
Implementation for sparse logistic functional principal component analysis (SLFPCA). SLFPCA is specifically developed for functional binary data, and the estimated eigenfunction can be strictly zero on some sub-intervals, which is helpful for interpretation. The crucial function of this package is SLFPCA().
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.0 |
rolling linux/jammy R-4.5 | SLFPCA_3.0.tar.gz |
41.8 KiB |
3.0 |
rolling linux/noble R-4.5 | SLFPCA_3.0.tar.gz |
41.7 KiB |
3.0 |
rolling source/ R- | SLFPCA_3.0.tar.gz |
7.5 KiB |
3.0 |
latest linux/jammy R-4.5 | SLFPCA_3.0.tar.gz |
41.8 KiB |
3.0 |
latest linux/noble R-4.5 | SLFPCA_3.0.tar.gz |
41.7 KiB |
3.0 |
latest source/ R- | SLFPCA_3.0.tar.gz |
7.5 KiB |
3.0 |
2026-04-26 source/ R- | SLFPCA_3.0.tar.gz |
7.5 KiB |
3.0 |
2026-04-23 source/ R- | SLFPCA_3.0.tar.gz |
7.5 KiB |
3.0 |
2026-04-09 windows/windows R-4.5 | SLFPCA_3.0.zip |
44.2 KiB |
3.0 |
2025-04-20 source/ R- | SLFPCA_3.0.tar.gz |
7.5 KiB |