snha: Creating Correlation Networks using St. Nicolas House Analysis

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 ORCID iD [aut, cre]
Maintainer: Detlef Groth <dgroth at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: snha citation info
Materials: README NEWS
CRAN checks: snha results


Reference manual: snha.pdf
Vignettes: Tutorial on the snha package


Package source: snha_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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