Package: linkspotter Type: Package Title: Bivariate Correlations Calculation and Visualization Version: 1.4.0.9000 Date: 2020-07-23 Authors@R: c( person("Alassane", "Samba", role = c("aut", "cre"),email = "alassane.samba@orange.com"), person(family="Orange", role = c("cph")) ) Description: 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). License: MIT + file LICENSE URL: https://github.com/sambaala/linkspotter BugReports: https://github.com/sambaala/linkspotter/issues Encoding: UTF-8 Depends: R (>= 3.2.0) Imports: shiny, visNetwork, infotheo, minerva, energy, mclust, rAmCharts, pbapply, ggplot2, dplyr, tidyr, shinybusy Collate: 'linkspotterComplete.R' 'clusterVariables.R' 'linkspotterDurationEstimator.R' 'linkspotterGraph.R' 'linkspotterGraphOnMatrix.R' 'linkspotterOnFile.R' 'linkspotterUI.R' 'corCouplesToMatrix.R' 'matrixToCorCouples.R' 'maxNMI.R' 'BeEFdiscretization_numfact.R' 'BeEFdiscretization_numnum.R' 'multiBivariateCorrelation.R' 'NormalizedMI.R' 'createShinyAppFolder.R' 'EFdiscretization.R' 'non_informative_var.R' RoxygenNote: 7.1.1 Suggests: knitr, rmarkdown VignetteBuilder: knitr Config/pak/sysreqs: cmake make libgsl0-dev libicu-dev libuv1-dev zlib1g-dev Repository: https://orange-opensource.r-universe.dev Date/Publication: 2023-10-11 14:21:50 UTC RemoteUrl: https://github.com/orange-opensource/linkspotter RemoteRef: HEAD RemoteSha: af74adf76d3f7250fb14b73d58bb4fd3bfbc6a64 NeedsCompilation: no Packaged: 2026-10-18 08:05:45 UTC; root Author: Alassane Samba [aut, cre], Orange [cph] Maintainer: Alassane Samba