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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 |
| In views: | Omics |
| CRAN checks: | mpm results |
| Reference manual: | mpm.pdf |
| 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 imports: | a4Base, esetVis |
| Reverse suggests: | autonomics |
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