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.

Version:	1.0-23
Depends:	R (≥ 2.10)
Imports:	MASS, KernSmooth
Published:	2022-04-01
Author:	Luc Wouters [aut], Tobias Verbeke [ctb], Laure Cougnaud [cre]
Maintainer:	Laure Cougnaud <laure.cougnaud at openanalytics.eu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://mpm.r-forge.r-project.org
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	mpm results

Documentation:

Reference manual:

mpm.pdf

Downloads:

Package source:	mpm_1.0-23.tar.gz
Windows binaries:	r-devel: mpm_1.0-23.zip, r-release: mpm_1.0-23.zip, r-oldrel: mpm_1.0-23.zip
macOS binaries:	r-release (arm64): mpm_1.0-23.tgz, r-oldrel (arm64): mpm_1.0-23.tgz, r-release (x86_64): mpm_1.0-23.tgz, r-oldrel (x86_64): mpm_1.0-23.tgz
Old sources:	mpm archive

Reverse dependencies:

Reverse imports:	a4Base, esetVis
Reverse suggests:	autonomics

Linking:

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