Package: bullseye 0.1.0

bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores

We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.

Authors:Amit Chinwan [aut], Catherine Hurley [aut, cre]

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Peer review:

Bug tracker:https://github.com/cbhurley/bullseye/issues

On CRAN:

27 exports 1 stars 1.24 score 78 dependencies 13 scripts

Last updated 20 days agofrom:613a77a236. Checks:OK: 5 ERROR: 2. Indexed: yes.

Exports:ace_coras.pairwisepair_acepair_cancorpair_chipair_controlpair_corpair_dcorpair_gkGammapair_gkTaupair_methodspair_minepair_nmipair_polychorpair_polyserialpair_scagnosticspair_tauApair_tauBpair_tauCpair_tauWpair_uncertaintypairwisepairwise_bypairwise_multipairwise_scoresplot_pairwiseplot_pairwise_linear

Dependencies:admiscbase64encbslibcacachemcliclustercodetoolscolorspacecpp11DendSerdigestdplyrevaluatefansifarverfastmapfontawesomeforeachfsgclusgenericsggiraphggplot2gluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellmvtnormnlmepermutepillarpkgconfigpolycorpurrrqapR6rappdirsRColorBrewerRcppregistryrlangrmarkdownsassscalesseriationstringistringrsystemfontstibbletidyrtidyselecttinytexTSPutf8uuidvctrsveganviridisLitewithrxfunyaml