Package: fastglmpca 0.1-103
fastglmpca: Fast Algorithms for Generalized Principal Component Analysis
Implements fast, scalable optimization algorithms for fitting generalized principal components analysis (GLM-PCA) models, as described in "A Generalization of Principal Components Analysis to the Exponential Family" Collins M, Dasgupta S, Schapire RE (2002, ISBN:9780262271738), and subsequently "Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model" Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1186/s13059-019-1861-6>.
Authors:
fastglmpca_0.1-103.tar.gz
fastglmpca_0.1-103.tar.gz(r-4.5-noble)fastglmpca_0.1-103.tar.gz(r-4.4-noble)
fastglmpca_0.1-103.tgz(r-4.4-emscripten)fastglmpca_0.1-103.tgz(r-4.3-emscripten)
fastglmpca.pdf |fastglmpca.html✨
fastglmpca/json (API)
NEWS
# Install 'fastglmpca' in R: |
install.packages('fastglmpca', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stephenslab/fastglmpca/issues
- pbmc_facs - Mixture of 10 FACS-purified PBMC Single-Cell RNA-seq data
Last updated 11 months agofrom:44a29924cc. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 30 2024 |
R-4.5-linux-x86_64 | OK | Dec 30 2024 |
Exports:fit_glmpca_poisfit_glmpca_pois_control_defaultgenerate_glmpca_data_poisinit_glmpca_poisset_fastglmpca_threads
Dependencies:daaremdistrfloatlatticeMASSMatrixMatrixExtraRcppRcppArmadilloRcppParallelRhpcBLASctlsfsmiscstartupmsg
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fit Poisson GLM-PCA Model to Count Data | fit_glmpca_pois fit_glmpca_pois_control_default init_glmpca_pois |
Get Fitted Values for GLM-PCA Model Fit | fitted.glmpca_pois_fit |
Generate Data from a GLMCPA Model | generate_glmpca_data_pois |
Mixture of 10 FACS-purified PBMC Single-Cell RNA-seq data | pbmc_facs |
Set up Multithreading for fastglmpca | set_fastglmpca_threads |
Summarize GLM-PCA Model Fit | print.summary.glmpca_pois_fit summary.glmpca_pois_fit |