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-4.7-x86_64)PMA_1.2-3.zip(r-4.7-arm64)PMA_1.2-3.zip(r-4.6-x86_64)PMA_1.2-3.zip(r-4.6-arm64)PMA_1.2-3.zip(r-4.5-x86_64)
PMA_1.2-3.tgz(r-4.6-x86_64)PMA_1.2-3.tgz(r-4.6-arm64)PMA_1.2-3.tgz(r-4.5-x86_64)PMA_1.2-3.tgz(r-4.5-arm64)
PMA_1.2-3.tar.gz(r-4.7-arm64)PMA_1.2-3.tar.gz(r-4.7-x86_64)PMA_1.2-3.tar.gz(r-4.6-arm64)PMA_1.2-3.tar.gz(r-4.6-x86_64)
PMA_1.2-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PMA/json (API)

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

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

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

On CRAN:

Conda:

cpp

7.31 score 7 stars 5 packages 389 scripts 879 downloads 55 mentions 10 exports 0 dependencies

Last updated from:0d60b40495. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK80
linux-devel-x86_64OK99
source / vignettesOK140
linux-release-arm64OK88
linux-release-x86_64OK105
macos-release-arm64OK140
macos-release-x86_64OK304
macos-oldrel-arm64OK77
macos-oldrel-x86_64OK299
windows-devel-arm64OK197
windows-devel-x86_64OK125
windows-release-arm64OK219
windows-release-x86_64OK109
windows-oldrel-x86_64OK104
wasm-releaseOK70

Exports:CCACCA.permutedownload_breast_dataMultiCCAMultiCCA.permutePlotCGHPMDPMD.cvSPCSPC.cv

Dependencies: