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:Srika Raja [aut, cre], Somak Dutta [aut]

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-4.5-x86_64)pPCA_1.1.tgz(r-4.5-arm64)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

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

2.78 score 162 downloads 1 exports 5 dependencies

Last updated 5 months agofrom:d10b4d5570. Checks:1 OK, 11 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-win-x86_64NOTEMar 21 2025
R-4.5-mac-x86_64NOTEMar 21 2025
R-4.5-mac-aarch64NOTEMar 21 2025
R-4.5-linux-x86_64NOTEMar 21 2025
R-4.4-win-x86_64NOTEMar 21 2025
R-4.4-mac-x86_64NOTEMar 21 2025
R-4.4-mac-aarch64NOTEMar 21 2025
R-4.4-linux-x86_64NOTEMar 21 2025
R-4.3-win-x86_64NOTEMar 21 2025
R-4.3-mac-x86_64NOTEMar 21 2025
R-4.3-mac-aarch64NOTEMar 21 2025

Exports:pPCA

Dependencies:latticeMatrixRcppRcppEigenRSpectra