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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 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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=snha to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.