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:Wei Liu [aut, cre], Xiaolu Jiang [aut]

MultiRFM_1.1.0.tar.gz
MultiRFM_1.1.0.zip(r-4.7-x86_64)MultiRFM_1.1.0.zip(r-4.7-arm64)MultiRFM_1.1.0.zip(r-4.6-x86_64)MultiRFM_1.1.0.zip(r-4.6-arm64)
MultiRFM_1.1.0.tar.gz(r-4.7-arm64)MultiRFM_1.1.0.tar.gz(r-4.7-x86_64)MultiRFM_1.1.0.tar.gz(r-4.6-arm64)MultiRFM_1.1.0.tar.gz(r-4.6-x86_64)
MultiRFM_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

3.00 score 286 downloads 3 exports 76 dependencies

Last updated from:df4cbd3ef6. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK177
source / vignettesOK225
linux-release-arm64OK182
linux-release-x86_64OK208
windows-devel-arm64OK263
windows-devel-x86_64OK198
windows-release-arm64OK273
windows-release-x86_64OK167
wasm-releaseOK123

Exports:gendata_simu_multiMultiRFMselectFac.MultiRFM

Dependencies:askpassbase64encbslibcachemclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrirlbaisobandjquerylibjsonlitekernlabknitrlabelingLaplacesDemonlaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemimemixtoolsmvtnormnlmeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownS7sassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

High Dimensional Example of MultiRFM
Generate the simulated data | Compare with other methods | Visualize the comparison of performance | Select the parameters
Rendered fromsimu_high_dim.Rmdusingknitr::rmarkdown

Last update: 2025-12-03
Started: 2025-12-03

Low Dimensional Example of MultiRFM
Generate the simulated data | Compare with other methods | Visualize the comparison of performance | Select the parameters
Rendered fromsimu_low_dim.Rmdusingknitr::rmarkdown

Last update: 2025-12-03
Started: 2025-12-03