Package: missSOM 1.0.1
Sara Rejeb
missSOM: Self-Organizing Maps with Built-in Missing Data Imputation
The Self-Organizing Maps with Built-in Missing Data Imputation. Missing values are imputed and regularly updated during the online Kohonen algorithm. Our method can be used for data visualisation, clustering or imputation of missing data. It is an extension of the online algorithm of the 'kohonen' package. The method is described in the article "Self-Organizing Maps for Exploration of Partially Observed Data and Imputation of Missing Values" by S. Rejeb, C. Duveau, T. Rebafka (2022) <arxiv:2202.07963>.
Authors:
missSOM_1.0.1.tar.gz
missSOM_1.0.1.zip(r-4.7)missSOM_1.0.1.zip(r-4.6)missSOM_1.0.1.zip(r-4.5)
missSOM_1.0.1.tgz(r-4.6-x86_64)missSOM_1.0.1.tgz(r-4.6-arm64)missSOM_1.0.1.tgz(r-4.5-x86_64)missSOM_1.0.1.tgz(r-4.5-arm64)
missSOM_1.0.1.tar.gz(r-4.7-arm64)missSOM_1.0.1.tar.gz(r-4.7-x86_64)missSOM_1.0.1.tar.gz(r-4.6-arm64)missSOM_1.0.1.tar.gz(r-4.6-x86_64)
missSOM_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
missSOM/json (API)
| # Install 'missSOM' in R: |
| install.packages('missSOM', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues
Last updated from:00a21a60ac (on package/missSOM). Checks:13 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 104 | ||
| linux-devel-x86_64 | OK | 113 | ||
| source / vignettes | OK | 136 | ||
| linux-release-arm64 | OK | 123 | ||
| linux-release-x86_64 | OK | 106 | ||
| macos-release-arm64 | OK | 112 | ||
| macos-release-x86_64 | OK | 215 | ||
| macos-oldrel-arm64 | OK | 86 | ||
| macos-oldrel-x86_64 | OK | 250 | ||
| windows-devel | OK | 122 | ||
| windows-release | OK | 100 | ||
| windows-oldrel | OK | 112 | ||
| wasm-release | OK | 196 |
Exports:add.cluster.boundariesimputeSOMmapobject.distancessomgridtricolorunit.distances
Dependencies:kpodclustrRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Self-Organizing Maps with Built-in Missing Data Imputation. | imputeSOM |
| Map data to a supervised or unsupervised SOM | map map.missSOM |
| missSOM | missSOM |
| Title Near-infrared data with temperature effects | nir |
| Calculate distances between object vectors in a SOM | object.distances |
| Plot missSOM object | add.cluster.boundaries identify.missSOM plot.missSOM |
| SOM-grid related functions | somgrid unit.distances |
| Summary and print methods for missSOM objects | print.missSOM summary.missSOM |
| Provides smooth unit colors for SOMs | tricolor |
| Wine data | vintages wines |
| Title Yeast cell-cycle data | yeast |
