Create correlation networks using St. Nicolas House Analysis ('SNHA'). The package can be used for visualizing multivariate data similar to Principal Component Analysis or Multidimensional Scaling using a ranking approach. In contrast to 'MDS' and 'PCA', 'SNHA' uses a network approach to explore interacting variables. For details see 'Hermanussen et. al. 2021', <doi:10.3390/ijerph18041741>.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MASS |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-03-14 |
| DOI: | 10.32614/CRAN.package.snha |
| Author: | Detlef Groth |
| Maintainer: | Detlef Groth <dgroth at uni-potsdam.de> |
| BugReports: | https://github.com/mittelmark/snha/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/mittelmark/snha |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | snha citation info |
| Materials: | README, NEWS |
| CRAN checks: | snha results |
| Reference manual: | snha.html , snha.pdf |
| Vignettes: |
Tutorial on the snha package (source, R code) |
| Package source: | snha_0.1.3.tar.gz |
| Windows binaries: | r-devel: snha_0.1.3.zip, r-release: snha_0.1.3.zip, r-oldrel: snha_0.1.3.zip |
| macOS binaries: | r-release (arm64): snha_0.1.3.tgz, r-oldrel (arm64): snha_0.1.3.tgz, r-release (x86_64): snha_0.1.3.tgz, r-oldrel (x86_64): snha_0.1.3.tgz |
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