RMLPCA
Maximum Likelihood Principal Component Analysis
R implementation of Maximum Likelihood Principal Component Analysis The main idea of this package is to have an alternative way of PCA for subspace modeling that considers measurement errors. More details can be found in Peter D. Wentzell (2009) <doi:10.1016/B978-0-444-64165-6.03029-9>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1 |
rolling linux/jammy R-4.5 | RMLPCA_0.0.1.tar.gz |
543.8 KiB |
0.0.1 |
rolling linux/noble R-4.5 | RMLPCA_0.0.1.tar.gz |
543.1 KiB |
0.0.1 |
rolling source/ R- | RMLPCA_0.0.1.tar.gz |
527.0 KiB |
0.0.1 |
latest linux/jammy R-4.5 | RMLPCA_0.0.1.tar.gz |
543.8 KiB |
0.0.1 |
latest linux/noble R-4.5 | RMLPCA_0.0.1.tar.gz |
543.1 KiB |
0.0.1 |
latest source/ R- | RMLPCA_0.0.1.tar.gz |
527.0 KiB |
0.0.1 |
2026-04-26 source/ R- | RMLPCA_0.0.1.tar.gz |
527.0 KiB |
0.0.1 |
2026-04-23 source/ R- | RMLPCA_0.0.1.tar.gz |
527.0 KiB |
0.0.1 |
2026-04-09 windows/windows R-4.5 | RMLPCA_0.0.1.zip |
547.9 KiB |
0.0.1 |
2025-04-20 source/ R- | RMLPCA_0.0.1.tar.gz |
527.0 KiB |