Package: pPCA 1.1
pPCA: Partial Principal Component Analysis of Partitioned Large Sparse Matrices
Performs partial principal component analysis of a large sparse matrix. The matrix may be stored as a list of matrices to be concatenated (implicitly) horizontally. Useful application includes cases where the number of total nonzero entries exceed the capacity of 32 bit integers (e.g., with large Single Nucleotide Polymorphism data).
Authors:
pPCA_1.1.tar.gz
pPCA_1.1.zip(r-4.5)pPCA_1.1.zip(r-4.4)pPCA_1.1.zip(r-4.3)
pPCA_1.1.tgz(r-4.4-x86_64)pPCA_1.1.tgz(r-4.4-arm64)pPCA_1.1.tgz(r-4.3-x86_64)pPCA_1.1.tgz(r-4.3-arm64)
pPCA_1.1.tar.gz(r-4.5-noble)pPCA_1.1.tar.gz(r-4.4-noble)
pPCA_1.1.tgz(r-4.4-emscripten)pPCA_1.1.tgz(r-4.3-emscripten)
pPCA.pdf |pPCA.html✨
pPCA/json (API)
| # Install 'pPCA' in R: |
| install.packages('pPCA', repos = c('https://srika1919.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/srika1919/ppca/issues
Last updated 1 days agofrom:d10b4d5570. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 22 2024 |
| R-4.5-win-x86_64 | NOTE | Oct 22 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 22 2024 |
| R-4.4-win-x86_64 | NOTE | Oct 22 2024 |
| R-4.4-mac-x86_64 | NOTE | Oct 22 2024 |
| R-4.4-mac-aarch64 | NOTE | Oct 22 2024 |
| R-4.3-win-x86_64 | NOTE | Oct 22 2024 |
| R-4.3-mac-x86_64 | NOTE | Oct 22 2024 |
| R-4.3-mac-aarch64 | NOTE | Oct 22 2024 |
Exports:pPCA
