Package: slfm 1.0.2
Vinicius Mayrink
slfm: Fitting a Bayesian Sparse Latent Factor Model in Gene Expression Analysis
Set of tools to find coherent patterns in gene expression (microarray) data using a Bayesian Sparse Latent Factor Model (SLFM) <doi:10.1007/978-3-319-12454-4_15>. Considerable effort has been put to build a fast and memory efficient package, which makes this proposal an interesting and computationally convenient alternative to study patterns of gene expressions exhibited in matrices. The package contains the implementation of two versions of the model based on different mixture priors for the loadings: one relies on a degenerate component at zero and the other uses a small variance normal distribution for the spike part of the mixture.
Authors:
slfm_1.0.2.tar.gz
slfm_1.0.2.tar.gz(r-4.5-noble)slfm_1.0.2.tar.gz(r-4.4-noble)
slfm_1.0.2.tgz(r-4.4-emscripten)slfm_1.0.2.tgz(r-4.3-emscripten)
slfm.pdf |slfm.html✨
slfm/json (API)
NEWS
| # Install 'slfm' in R: |
| install.packages('slfm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:ed34066e57. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-linux-x86_64 | OK | Nov 23 2024 |
Exports:plot_matrixprocess_matrixslfmslfm_list
Dependencies:codalatticeRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| plot_matrix | plot_matrix |
| Print method for an slfm object | print.slfm |
| process_matrix | process_matrix |
| slfm | slfm |
| slfm_list | slfm_list |
| slfm: Fitting a Bayesian Sparse Latent Factor Model in Gene Expression Analysis | slfm-package slfm_package |