Package: MultiRFM 1.1.0
Wei Liu
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>.
Authors:
MultiRFM_1.1.0.tar.gz
MultiRFM_1.1.0.tar.gz(r-4.7-arm64)MultiRFM_1.1.0.tar.gz(r-4.6-arm64)MultiRFM_1.1.0.tar.gz(r-4.7-x86_64)MultiRFM_1.1.0.tar.gz(r-4.6-x86_64)
MultiRFM_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MultiRFM/json (API)
| # Install 'MultiRFM' in R: |
| install.packages('MultiRFM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/feiyoung/multirfm/issues
Last updated from:df4cbd3ef6. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 167 | ||
| source / vignettes | OK | 240 | ||
| linux-release-x86_64 | OK | 177 | ||
| wasm-release | OK | 124 |
Exports:gendata_simu_multiMultiRFMselectFac.MultiRFM
Dependencies:askpassbase64encbslibcachemclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrirlbaisobandjquerylibjsonlitekernlabknitrlabelingLaplacesDemonlaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemimemixtoolsmvtnormnlmeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownS7sassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate Simulated Multi-Study Factor Analysis Data | gendata_simu_multi |
| Fit the high-dimensional multi-study robust factor model | MultiRFM |
| Select the number of factors | selectFac.MultiRFM |