MultiRFM
High-Dimensional Multi-Study Robust Factor Model
We introduce a high-dimensional multi-study robust factor model, which learns latent features and accounts for the heterogeneity among source. It could be used for analyzing heterogeneous RNA sequencing data. More details can be referred to Jiang et al. (2025) <doi:10.48550/arXiv.2506.18478>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | MultiRFM_1.1.0.tar.gz |
150.0 KiB |
1.1.0 |
rolling linux/noble R-4.5 | MultiRFM_1.1.0.tar.gz |
154.8 KiB |
1.1.0 |
rolling source/ R- | MultiRFM_1.1.0.tar.gz |
36.4 KiB |
1.1.0 |
latest linux/jammy R-4.5 | MultiRFM_1.1.0.tar.gz |
150.0 KiB |
1.1.0 |
latest linux/noble R-4.5 | MultiRFM_1.1.0.tar.gz |
154.8 KiB |
1.1.0 |
latest source/ R- | MultiRFM_1.1.0.tar.gz |
36.4 KiB |
1.1.0 |
2026-04-26 source/ R- | MultiRFM_1.1.0.tar.gz |
36.4 KiB |
1.1.0 |
2026-04-23 source/ R- | MultiRFM_1.1.0.tar.gz |
36.4 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | MultiRFM_1.1.0.zip |
568.4 KiB |