Package: mpm 1.0-20

Tobias Verbeke

mpm: Multivariate Projection Methods

Exploratory graphical analysis of multivariate data, specifically gene expression data with different projection methods: principal component analysis, correspondence analysis, spectral map analysis.

Authors:Luc Wouters <[email protected]>

mpm_1.0-20.tar.gz
mpm_1.0-20.zip(r-4.7)mpm_1.0-20.zip(r-4.6)mpm_1.0-20.zip(r-4.5)
mpm_1.0-20.tgz(r-4.6-any)mpm_1.0-20.tgz(r-4.5-any)
mpm_1.0-20.tar.gz(r-4.7-any)mpm_1.0-20.tar.gz(r-4.6-any)
mpm_1.0-20.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mpm/json (API)
NEWS

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

Bug tracker:https://r-forge.r-project.org/projects/mpm

Datasets:

On CRAN:

Conda:

3.03 score 3 packages 12 scripts 422 downloads 1 mentions 7 exports 2 dependencies

Last updated from:fe78feaecc. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE111
source / vignettesOK132
linux-release-x86_64NOTE122
macos-release-arm64NOTE90
macos-oldrel-arm64NOTE84
windows-develNOTE62
windows-releaseNOTE73
windows-oldrelNOTE61
wasm-releaseOK75

Exports:exportexport.summary.mpmmpmplot.mpmprint.mpmprint.summary.mpmsummary.mpm

Dependencies:KernSmoothMASS