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>.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MASS, irlba, LaplacesDemon, mixtools, mvtnorm, Rcpp (≥ 1.0.8.3) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-12-03 |
| DOI: | 10.32614/CRAN.package.MultiRFM |
| Author: | Wei Liu [aut, cre], Xiaolu Jiang [aut] |
| Maintainer: | Wei Liu <liuweideng at gmail.com> |
| BugReports: | https://github.com/feiyoung/MultiRFM/issues |
| License: | GPL-3 |
| URL: | https://github.com/feiyoung/MultiRFM |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | MultiRFM results |
| Reference manual: | MultiRFM.html , MultiRFM.pdf |
| Vignettes: |
High Dimensional Example of MultiRFM (source, R code) Low Dimensional Example of MultiRFM (source, R code) |
| Package source: | MultiRFM_1.1.0.tar.gz |
| Windows binaries: | r-devel: MultiRFM_1.1.0.zip, r-release: MultiRFM_1.1.0.zip, r-oldrel: MultiRFM_1.1.0.zip |
| macOS binaries: | r-release (arm64): MultiRFM_1.1.0.tgz, r-oldrel (arm64): MultiRFM_1.1.0.tgz, r-release (x86_64): MultiRFM_1.1.0.tgz, r-oldrel (x86_64): MultiRFM_1.1.0.tgz |
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