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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.pdf |
Vignettes: |
Tutorial on the snha package |
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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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.
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