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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