sRDA
Sparse Redundancy Analysis
Sparse redundancy analysis for high dimensional (biomedical) data. Directional multivariate analysis to express the maximum variance in the predicted data set by a linear combination of variables of the predictive data set. Implemented in a partial least squares framework, for more details see Csala et al. (2017) <doi:10.1093/bioinformatics/btx374>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | sRDA_1.0.0.tar.gz |
57.1 KiB |
1.0.0 |
rolling linux/noble R-4.5 | sRDA_1.0.0.tar.gz |
57.0 KiB |
1.0.0 |
rolling source/ R- | sRDA_1.0.0.tar.gz |
15.2 KiB |
1.0.0 |
latest linux/jammy R-4.5 | sRDA_1.0.0.tar.gz |
57.1 KiB |
1.0.0 |
latest linux/noble R-4.5 | sRDA_1.0.0.tar.gz |
57.0 KiB |
1.0.0 |
latest source/ R- | sRDA_1.0.0.tar.gz |
15.2 KiB |
1.0.0 |
2026-04-26 source/ R- | sRDA_1.0.0.tar.gz |
15.2 KiB |
1.0.0 |
2026-04-23 source/ R- | sRDA_1.0.0.tar.gz |
15.2 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | sRDA_1.0.0.zip |
59.5 KiB |
1.0.0 |
2025-04-20 source/ R- | sRDA_1.0.0.tar.gz |
15.2 KiB |