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-4.5)mpm_1.0-20.zip(r-4.4)mpm_1.0-20.zip(r-4.3)
mpm_1.0-20.tgz(r-4.4-any)mpm_1.0-20.tgz(r-4.3-any)
mpm_1.0-20.tar.gz(r-4.5-noble)mpm_1.0-20.tar.gz(r-4.4-noble)
mpm_1.0-20.tgz(r-4.4-emscripten)mpm_1.0-20.tgz(r-4.3-emscripten)
mpm.pdf |mpm.html✨
mpm/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

3.03 score 3 packages 12 scripts 480 downloads 1 mentions 7 exports 2 dependencies

Last updated 13 years agofrom:fe78feaecc. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winNOTENov 22 2024
R-4.5-linuxNOTENov 22 2024
R-4.4-winNOTENov 22 2024
R-4.4-macNOTENov 22 2024
R-4.3-winNOTENov 22 2024
R-4.3-macNOTENov 22 2024

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

Dependencies:KernSmoothMASS