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Compute and visualize using the 'visNetwork' package all the bivariate correlations of a dataframe. Several and different types of correlation coefficients (Pearson's r, Spearman's rho, Kendall's tau, distance correlation, maximal information coefficient and equal-freq discretization-based maximal normalized mutual information) are used according to the variable couple type (quantitative vs categorical, quantitative vs quantitative, categorical vs categorical).
| Version: | 1.3.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | shiny, visNetwork, infotheo, minerva, energy, mclust, rAmCharts, pbapply, ggplot2, dplyr, tidyr, shinybusy |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-07-23 |
| DOI: | 10.32614/CRAN.package.linkspotter |
| Author: | Alassane Samba [aut, cre], Orange [cph] |
| Maintainer: | Alassane Samba <alassane.samba at orange.com> |
| BugReports: | https://github.com/sambaala/linkspotter/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/sambaala/linkspotter |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | linkspotter results |
| Reference manual: | linkspotter.pdf |
| Vignettes: |
Introduction to Linkspotter |
| Package source: | linkspotter_1.3.0.tar.gz |
| Windows binaries: | r-devel: linkspotter_1.3.0.zip, r-release: linkspotter_1.3.0.zip, r-oldrel: linkspotter_1.3.0.zip |
| macOS binaries: | r-release (arm64): linkspotter_1.3.0.tgz, r-oldrel (arm64): linkspotter_1.3.0.tgz, r-release (x86_64): linkspotter_1.3.0.tgz, r-oldrel (x86_64): linkspotter_1.3.0.tgz |
| Old sources: | linkspotter archive |
| Reverse suggests: | bullseye |
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These binaries (installable software) and packages are in development.
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