spca
Least Squares Sparse Principal Components Analysis
Implements least-squares sparse principal component analysis (LS-SPCA). The approach follows Merola (2015) <doi:10.1111/anzs.12128> and Merola and Chen (2019) <doi:10.1016/j.jmva.2019.04.001>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling linux/jammy R-4.5 | spca_1.1.1.tar.gz |
1.3 MiB |
1.1.1 |
rolling linux/noble R-4.5 | spca_1.1.1.tar.gz |
1.3 MiB |
1.1.1 |
rolling source/ R- | spca_1.1.1.tar.gz |
2.5 MiB |
1.1.1 |
latest linux/jammy R-4.5 | spca_1.1.1.tar.gz |
1.3 MiB |
1.1.1 |
latest linux/noble R-4.5 | spca_1.1.1.tar.gz |
1.3 MiB |
1.1.1 |
latest source/ R- | spca_1.1.1.tar.gz |
2.5 MiB |
1.1.1 |
2026-04-23 source/ R- | spca_1.1.1.tar.gz |
0 B |