Package: PMA 1.2-3

PMA: Penalized Multivariate Analysis

Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008> and Witten and Tibshirani (2009) Extensions of sparse canonical correlation analysis, with applications to genomic data <doi:10.2202/1544-6115.1470>.

Authors:Daniela Witten [aut], Rob Tibshirani [aut], Sam Gross [aut], Balasubramanian Narasimhan [cre, aut]

PMA_1.2-3.tar.gz
PMA_1.2-3.zip(r-4.5)PMA_1.2-3.zip(r-4.4)PMA_1.2-3.zip(r-4.3)
PMA_1.2-3.tgz(r-4.4-x86_64)PMA_1.2-3.tgz(r-4.4-arm64)PMA_1.2-3.tgz(r-4.3-x86_64)PMA_1.2-3.tgz(r-4.3-arm64)
PMA_1.2-3.tar.gz(r-4.5-noble)PMA_1.2-3.tar.gz(r-4.4-noble)
PMA_1.2-3.tgz(r-4.4-emscripten)PMA_1.2-3.tgz(r-4.3-emscripten)
PMA.pdf |PMA.html
PMA/json (API)
NEWS

# Install 'PMA' in R:
install.packages('PMA', repos = c('https://bnaras.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bnaras/pma/issues

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

On CRAN:

7.23 score 4 stars 11 packages 245 scripts 1.1k downloads 55 mentions 10 exports 0 dependencies

Last updated 9 months agofrom:0d60b40495. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-win-x86_64OKOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024
R-4.4-win-x86_64OKOct 24 2024
R-4.4-mac-x86_64OKOct 24 2024
R-4.4-mac-aarch64OKOct 24 2024
R-4.3-win-x86_64OKOct 24 2024
R-4.3-mac-x86_64OKOct 24 2024
R-4.3-mac-aarch64OKSep 24 2024

Exports:CCACCA.permutedownload_breast_dataMultiCCAMultiCCA.permutePlotCGHPMDPMD.cvSPCSPC.cv

Dependencies: