MultiEFM
Robust Estimation for Multi-Study High-Dimensional Elliptical Factor Analytics
We introduce a multi-study high-dimensional factor analysis toolbox 'MultiEFM' based on the elliptical factor model framework, which learns latent heterogeneous features and accounts for cross-study variation among sources. It provides robust estimation algorithms for heterogeneous datasets, particularly tailored for multi-study RNA sequencing arrays and complex spatial multi-omics layers. The package implements highly efficient initialization strategies, identifiability constraints alignment, and computationally scalable parameter estimation paradigms.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | MultiEFM_0.1.3.tar.gz |
133.2 KiB |
0.1.3 |
rolling linux/noble R-4.5 | MultiEFM_0.1.3.tar.gz |
137.1 KiB |
0.1.3 |
rolling source/ R- | MultiEFM_0.1.3.tar.gz |
23.2 KiB |
0.1.3 |
latest linux/jammy R-4.5 | MultiEFM_0.1.3.tar.gz |
133.2 KiB |
0.1.3 |
latest linux/noble R-4.5 | MultiEFM_0.1.3.tar.gz |
137.1 KiB |
0.1.3 |
latest source/ R- | MultiEFM_0.1.3.tar.gz |
23.2 KiB |
0.1.3 |
2026-04-23 source/ R- | MultiEFM_0.1.3.tar.gz |
0 B |